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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">MCO-23-2-02865</article-id>
<article-id pub-id-type="doi">10.3892/mco.2025.2865</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>AEG-1 expression analysis in epithelial ovarian carcinoma: Uncovering distinctions between high-grade and low-grade serous carcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Irawan</surname><given-names>Budi</given-names></name>
<xref rid="af1-MCO-23-2-02865" ref-type="aff">1</xref>
<xref rid="c1-MCO-23-2-02865" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tjokroprawiro</surname><given-names>Brahmana Askandar</given-names></name>
<xref rid="af1-MCO-23-2-02865" ref-type="aff">1</xref>
<xref rid="c1-MCO-23-2-02865" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Saraswati</surname><given-names>Wita</given-names></name>
<xref rid="af1-MCO-23-2-02865" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yuliati</surname><given-names>Indra</given-names></name>
<xref rid="af1-MCO-23-2-02865" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mulawardhana</surname><given-names>Pungky</given-names></name>
<xref rid="af2-MCO-23-2-02865" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Utomo</surname><given-names>Budi</given-names></name>
<xref rid="af3-MCO-23-2-02865" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ariani</surname><given-names>Grace</given-names></name>
<xref rid="af4-MCO-23-2-02865" ref-type="aff">4</xref>
</contrib>
</contrib-group>
<aff id="af1-MCO-23-2-02865"><label>1</label>Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Airlangga, Dr. Soetomo General Academic Hospital, Surabaya, East Java 60286, Indonesia</aff>
<aff id="af2-MCO-23-2-02865"><label>2</label>Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Airlangga, Airlangga University Academic Hospital, Surabaya, East Java 60115, Indonesia</aff>
<aff id="af3-MCO-23-2-02865"><label>3</label>Department of Public Health Sciences-Preventive Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java 60131, Indonesia</aff>
<aff id="af4-MCO-23-2-02865"><label>4</label>Department of Anatomical Pathology, Faculty of Medicine, Universitas Airlangga, Dr. Soetomo General Academic Hospital, Surabaya, East Java 60286, Indonesia</aff>
<author-notes>
<corresp id="c1-MCO-23-2-02865"><italic>Correspondence to:</italic> Dr Brahmana Askandar Tjokroprawiro or Mr. Budi Irawan, Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Airlangga, Dr. Soetomo General Academic Hospital, Jl Professor Dr Moestopo 6-8, Surabaya 60286, Indonesia <email>brahmanaaskandar@fk.unair.ac.id</email> <email>drboedie@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="collection"><month>08</month><year>2025</year></pub-date>
<pub-date pub-type="epub"><day>04</day><month>06</month><year>2025</year></pub-date>
<volume>23</volume>
<issue>2</issue>
<elocation-id>70</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>01</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2025 Irawan et al.</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Epithelial ovarian carcinoma (EOC) is the most common form of ovarian cancer and is associated with a poor prognosis. Astrocyte Elevated Gene-1 (AEG-1) is an oncogene implicated in cancer cell growth and progression. The present study examined AEG-1 expression in EOC, specifically comparing high-grade serous ovarian carcinoma (HGSOC) and low-grade serous ovarian carcinoma (LGSOC). The present retrospective analytical study employed a cross-sectional design and included women diagnosed with HGSOC or LGSOC between January 2021 and December 2023. Extracted data included demographic, laboratory and clinicopathological characteristics. In addition to comparing AEG-1 expression in HGSOC and LGSOC, associations between these histological subtypes and the extracted variables, as well as associations between AEG-1 expression and these variables, were assessed. Of the 74 patients initially identified, 24 were excluded, resulting in a final sample of 50 patients 23 with LGSOC and 27 with HGSOC. A statistically significant association was found between residual disease and cancer histopathology &#x005B;odds ratio: 7.219; 95&#x0025; confidence interval (CI): 1.399-37.252; P=0.024), whereas no significant associations were observed with other variables. AEG-1 expression was significantly higher in HGSOC compared with LGSOC (relative risk: 3.228; 95&#x0025; CI: 1.188-8.776; P=0.012), with high AEG-1 expression observed more frequently in HGSOC (65.7&#x0025;) than in LGSOC (34.3&#x0025;). In conclusion, AEG-1 expression was significantly elevated in HGSOC compared with LGSOC, suggesting a potential role for AEG-1 in the progression of HGSOC.</p>
</abstract>
<kwd-group>
<kwd>ovarian cancer</kwd>
<kwd>epithelial ovarian carcinoma</kwd>
<kwd>high-grade serous carcinoma</kwd>
<kwd>low-grade serous carcinoma</kwd>
<kwd>astrocyte elevated gene-1</kwd>
<kwd>metadherin</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Ovarian cancer (OC) remains a critical public health concern due to its poor prognosis and high mortality rate (<xref rid="b1-MCO-23-2-02865" ref-type="bibr">1</xref>,<xref rid="b2-MCO-23-2-02865" ref-type="bibr">2</xref>). According to 2022 GLOBOCAN data, OC is the eighth most common cancer and the eighth leading cause of cancer-related death among women worldwide, accounting for 206,956 deaths (<xref rid="b3-MCO-23-2-02865" ref-type="bibr">3</xref>). This high mortality may be attributed to the lack of symptoms in early-stage disease and the absence of effective screening methods (<xref rid="b4-MCO-23-2-02865" ref-type="bibr">4</xref>,<xref rid="b5-MCO-23-2-02865" ref-type="bibr">5</xref>). Consequently, OC is frequently diagnosed at an advanced stage, contributing to its poor prognosis (<xref rid="b6-MCO-23-2-02865" ref-type="bibr">6</xref>,<xref rid="b7-MCO-23-2-02865" ref-type="bibr">7</xref>). Additionally, the disease is marked by a high recurrence rate, with over 80&#x0025; of cases developing resistance to treatment, leading to a reduced 5-year survival rate (<xref rid="b8-MCO-23-2-02865" ref-type="bibr">8</xref>).</p>
<p>Epithelial ovarian carcinoma (EOC) is the most common subtype of OC, comprising &#x007E;90&#x0025; of all ovarian malignancies (<xref rid="b4-MCO-23-2-02865" ref-type="bibr">4</xref>,<xref rid="b9-MCO-23-2-02865" ref-type="bibr">9</xref>). EOCs are classified into Type I and II based on their histopathological features and clinical behavior (<xref rid="b10-MCO-23-2-02865 b11-MCO-23-2-02865 b12-MCO-23-2-02865" ref-type="bibr">10-12</xref>). Low-grade serous ovarian carcinoma (LGSOC), a Type I tumor, is typically indolent, associated with prolonged overall survival, and presents a relatively favorable prognosis (<xref rid="b11-MCO-23-2-02865" ref-type="bibr">11</xref>,<xref rid="b13-MCO-23-2-02865" ref-type="bibr">13</xref>,<xref rid="b14-MCO-23-2-02865" ref-type="bibr">14</xref>). It is often linked to serous borderline tumors, which are considered common precursor lesions (<xref rid="b15-MCO-23-2-02865" ref-type="bibr">15</xref>,<xref rid="b16-MCO-23-2-02865" ref-type="bibr">16</xref>). LGSOC is frequently associated with mutations in the MAPK signaling pathway, particularly involving the KRAS and BRAF genes (<xref rid="b17-MCO-23-2-02865" ref-type="bibr">17</xref>,<xref rid="b18-MCO-23-2-02865" ref-type="bibr">18</xref>). By contrast, high-grade serous ovarian carcinoma (HGSOC) is a Type II tumor characterized by aggressive growth, rapid progression, and poor clinical outcomes. It is frequently diagnosed at an advanced stage (<xref rid="b10-MCO-23-2-02865" ref-type="bibr">10</xref>,<xref rid="b11-MCO-23-2-02865" ref-type="bibr">11</xref>,<xref rid="b19-MCO-23-2-02865" ref-type="bibr">19</xref>,<xref rid="b20-MCO-23-2-02865" ref-type="bibr">20</xref>). Serous tubal intraepithelial carcinoma, arising from the distal fimbriae of the fallopian tube, has been identified as a probable precursor lesion of HGSOC (<xref rid="b21-MCO-23-2-02865 b22-MCO-23-2-02865 b23-MCO-23-2-02865" ref-type="bibr">21-23</xref>). Genomic analyses have revealed that &#x007E;96&#x0025; of HGSOC cases harbor mutations in the TP53 gene (<xref rid="b24-MCO-23-2-02865 b25-MCO-23-2-02865 b26-MCO-23-2-02865 b27-MCO-23-2-02865" ref-type="bibr">24-27</xref>).</p>
<p>Astrocyte Elevated Gene-1 (AEG-1), also known as metadherin, is an oncogene that plays a crucial role in cancer development and progression (<xref rid="b28-MCO-23-2-02865" ref-type="bibr">28</xref>,<xref rid="b29-MCO-23-2-02865" ref-type="bibr">29</xref>). AEG-1 interacts with various proteins and activates key oncogenic signaling pathways, including NF-&#x03BA;B, PI3K/Akt, MEK/ERK and Wnt/&#x03B2;-catenin (<xref rid="b28-MCO-23-2-02865" ref-type="bibr">28</xref>,<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>). This activation promotes multiple cancer hallmarks, such as increased proliferation, migration, invasion, angiogenesis and metastasis (<xref rid="b30-MCO-23-2-02865 b31-MCO-23-2-02865 b32-MCO-23-2-02865" ref-type="bibr">30-32</xref>). Furthermore, AEG-1 expression has been associated with chemotherapy resistance in several cancer types, including OC (<xref rid="b33-MCO-23-2-02865" ref-type="bibr">33</xref>,<xref rid="b34-MCO-23-2-02865" ref-type="bibr">34</xref>). It has been previously shown that elevated AEG-1 expression in EOC correlates with clinicopathological features such as disease stage, tumor grade, residual tumor size, lymph node metastasis and poor prognosis (<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>).</p>
<p>HGSOC and LGSOC differ in their clinical characteristics and prognoses (<xref rid="b14-MCO-23-2-02865" ref-type="bibr">14</xref>). They also exhibit distinct responses to chemotherapy (<xref rid="b19-MCO-23-2-02865" ref-type="bibr">19</xref>). As such, understanding the molecular differences between these two subtypes of EOC is essential for guiding appropriate treatment strategies. Given AEG-1&#x0027;s involvement in cancer progression and its potential influence on chemotherapy response (<xref rid="b28-MCO-23-2-02865" ref-type="bibr">28</xref>,<xref rid="b34-MCO-23-2-02865" ref-type="bibr">34</xref>), further investigation is warranted. However, the specific role of AEG-1 in EOC, particularly in HGSOC and LGSOC, remains unclear. Therefore, the present study aimed to examine differences in AEG-1 expression between HGSOC and LGSOC and to determine whether AEG-1 expression can be used to distinguish between these two subtypes.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study design and data source</title>
<p>The current retrospective analytical study employed a cross-sectional design. The research was conducted at the Division of Gynecological Oncology, Department of Obstetrics and Gynecology, and the Department of Anatomical Pathology, Faculty of Medicine (Airlangga University, Dr Soetomo Hospital, Surabaya, Indonesia). Data were obtained from electronic medical records that were collected between May 2024 and September 2024. The study population consisted of women diagnosed with HGSOC or LGSOC who underwent surgical treatment at Dr Soetomo Hospital between January 2021 and December 2023. All diagnoses were confirmed through histopathological examination.</p>
<p>The inclusion criteria were as follows: i) complete medical record data; ii) patients who underwent surgical procedures at Dr Soetomo Hospital, Surabaya; iii) histopathological confirmation of either low-grade or HGSOC; and iv) availability of paraffin blocks stored at the Anatomical Pathology Laboratory of Dr Soetomo Hospital during the study period (2021 to 2023). Patients who had received neoadjuvant chemotherapy (NAC) or whose histopathological results originated from institutions other than Dr. Soetomo Hospital were excluded.</p>
<p>Primary data were obtained from the medical records of patients meeting the inclusion and exclusion criteria. The study materials consisted of paraffin-embedded tumor mass tissue blocks obtained from surgical procedures conducted at Dr Soetomo Hospital. Immunohistochemical analysis was performed using an AEG-1 antibody (cat. no. 517220; Santa Cruz Biotechnology, Inc.). Deparaffination was performed by immersion in xylene and rehydration was achieved using a descending ethanol series (96, 90 and 80&#x0025;). To prevent endogenous peroxidase activity, 3&#x0025; H<sub>2</sub>O<sub>2</sub> in methanol was used at room temperature (RT) for 15 min. The tissue blocks were incubated with AEG-1 antibody at 4&#x02DA;C overnight, then stained with DAB at RT for 5 min and finally counterstained with Meyer&#x0027;s haematoxylin at RT for 5-10 min.</p>
</sec>
<sec>
<title>Data extraction and synthesis</title>
<p>The extracted data included demographic, laboratory and clinicopathological characteristics. Demographic variables comprised age, parity, age at menarche and menopausal status. The laboratory variable assessed was the serum CA 125 level. Clinicopathological factors included the presence of residual tumors and cancer stage. The present study evaluated key factors associated with HGSOC, LGSOC and AEG-1 expression.</p>
<p>The primary objective was to compare AEG-1 expression between HGSOC and LGSOC. Additionally, associations between the extracted variables and the histopathological subtypes (HGSOC and LGSOC), as well as the relationship between these variables and AEG-1 expression, were analyzed.</p>
</sec>
<sec>
<title>Expression level of AEG-1</title>
<p>AEG-1 expression levels were classified using a semiquantitative method based on the proportion of tumor cells exhibiting positive staining and the intensity of that staining. The proportion of positive cells was scored as follows: 0, no positive cells; 1, #x003C;10&#x0025;; 2, 10-50&#x0025;; and 3, &#x003E;50&#x0025;. Staining intensity was scored as: 0, no staining; 1, weak; 2, moderate; and 3, strong. The total AEG-1 expression score was calculated by summing the proportion and intensity scores. A total score of 4 or higher was considered high AEG-1 expression, while a score of 3 or lower was considered low AEG-1 expression (<xref rid="b35-MCO-23-2-02865" ref-type="bibr">35</xref>,<xref rid="b36-MCO-23-2-02865" ref-type="bibr">36</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analysis was performed using IBM SPSS Statistic version 29.0.0.0 (IBM Corp.). The primary statistical analysis of the collected data was conducted using the Mann-Whitney test to assess differences in AEG-1 expression between HGSOC and LGSOC. In addition, the chi-square test or Fisher&#x0027;s exact test were used to evaluate the relationships between clinical and demographic characteristics across the two groups. P#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<p>A total of 74 patients were diagnosed with either HGSOC or LGSOC. Of these, 24 patients met the exclusion criteria, including 13 patients for whom no paraffin blocks were available, six patients whose paraffin blocks contained no identifiable tumor cells, four patients who had received NAC, and one patient with incomplete data. Based on the inclusion and exclusion criteria, a final sample of 50 patients was included in the study. The cohort consisted of 27 patients with HGSOC and 23 with LGSOC (<xref rid="f1-MCO-23-2-02865" ref-type="fig">Fig. 1</xref>).</p>
<p>AEG-1 expression was evaluated by immunohistochemistry. AEG-1 was predominantly localized in the cytoplasm, nuclear membrane, or cell junctions. Staining was assessed across 10 randomly selected high-power fields (magnification, x400) representative of the average tumor size (<xref rid="f2-MCO-23-2-02865" ref-type="fig">Fig. 2</xref>).</p>
<sec>
<title/>
<sec>
<title>Characteristics of research subjects</title>
<p>Among the 50 participants, 34 (68&#x0025;) were under 55 years of age, and 16 (32&#x0025;) were over 55. A total of 19 patients (38&#x0025;) were nulliparous, while 21 (42&#x0025;) were multiparous. Early menarche (age, #x003C;12 years) was reported in 26 participants (52&#x0025;), whereas 24 (48&#x0025;) experienced menarche at age &#x003E;12 years. Menopausal status was evenly distributed, with 25 patients (50.0&#x0025;) post-menopausal and 25 (50&#x0025;) pre-menopausal. Normal CA 125 levels were observed in 5 samples (10&#x0025;), while elevated levels (&#x003E;35 ng/ml) were identified in 45 samples (90&#x0025;). Residual tumor size #x003C;1 cm was found in 37 patients (74&#x0025;), and &#x003E;1 cm in 13 patients (26&#x0025;). Early-stage disease (FIGO stages I and II) was diagnosed in 25 patients (50&#x0025;), and advanced-stage disease (stages III and IV) in the remaining 25 (50&#x0025;). AEG-1 expression was low in 15 samples (30&#x0025;) and high in 35 samples (70&#x0025;). Regarding histological subtype, 23 cases (46&#x0025;) were classified as LGSOC and 27 (54&#x0025;) as HGSOC (<xref rid="tI-MCO-23-2-02865" ref-type="table">Table I</xref>).</p>
</sec>
<sec>
<title>Relationship between the characteristics of research subjects and OC</title>
<p>The characteristics associated with OC incidence were analyzed to determine whether age, parity, menarche, menopausal status, CA 125 levels, residual tumor and cancer stage were related to LGSOC or HGSOC (<xref rid="tII-MCO-23-2-02865" ref-type="table">Table II</xref>).</p>
<p>As shown in <xref rid="tII-MCO-23-2-02865" ref-type="table">Table II</xref>, patients aged &#x2264;55 years were slightly more common in the LGSOC group (69.6&#x0025;) compared with the HGSOC group (66.7&#x0025;). Nulliparous and primiparous women were more frequently observed in the HGSOC group (44.4 and 22.2&#x0025;, respectively) than in the LGSOC group (30.4 and 17.4&#x0025;, respectively). By contrast, multiparous women were more prevalent in the LGSOC group (52.2&#x0025;) compared with the HGSOC group (33.3&#x0025;). Early menarche (age, #x003C;12 years) occurred more often in patients with LGSOC (60.9&#x0025;) than in those with HGSOC (44.4&#x0025;). Among post-menopausal women, HGSOC was more prevalent (55.6&#x0025;) than LGSOC (43.5&#x0025;). Elevated CA 125 levels were observed in all patients with LGSOC (100&#x0025;) and in 81.5&#x0025; of those with HGSOC. Advanced-stage disease was more frequently found in HGSOC (51.9&#x0025;) than in LGSOC (47.8&#x0025;). Tumor residuals &#x003E;1 cm were more commonly observed in HGSOC (40.7&#x0025;) compared with LGSOC (8.7&#x0025;).</p>
<p>According to the statistical analysis, only the variable related to residual tumor size yielded a P-value #x003C;0.05 (P=0.024), with an odds ratio (OR) of 7.219 &#x005B;95&#x0025; confidence interval (CI): 1.399-37.252&#x005D;, indicating a statistically significant association. The P-values and ORs for the other variables were as follows: age, P=1.000, OR=1.143 (95&#x0025; CI: 0.346-3.777); parity, P=0.399; menarche, P=0.382, OR=1.944 (95&#x0025; CI: 0.628-6.021); menopausal status, P=0.570, OR=1.625 (95&#x0025; CI: 0.530-4.984); CA 125 level, P=0.540; and stage, P=1.000, OR =1.175 (95&#x0025; CI: 0.386-3.576). These results suggest that no statistically significant associations were found between histological subtype (HGSOC or LGSOC) and the variables of age, parity, menarche, menopausal status, CA 125 level, or cancer stage.</p>
</sec>
<sec>
<title>Relationship between the characteristics of research subjects and AEG-1 expression</title>
<p>The association between AEG-1 expression and various clinical and demographic characteristics including age, parity, menarche, menopausal status, CA 125 level, residual tumor presence and cancer stage-was analyzed to explore potential relationships with low and high AEG-1 expression (<xref rid="tIII-MCO-23-2-02865" ref-type="table">Table III</xref>).</p>
<p>According to <xref rid="tIII-MCO-23-2-02865" ref-type="table">Table III</xref>, patients aged &#x2264;55 years had a higher prevalence of high AEG-1 expression (74.3&#x0025;) compared with those with low AEG-1 expression (53.3&#x0025;). Nulliparous and multiparous women showed a greater prevalence of low AEG-1 expression (40.0 and 53.3&#x0025;, respectively) than high AEG-1 expression, which was observed in 37.1&#x0025; of patients in both groups. By contrast, primiparous women exhibited a higher prevalence of high AEG-1 expression (25.7&#x0025;) compared with low AEG-1 expression (6.7&#x0025;). Early menarche (age, #x003C;12 years) was more frequent among individuals with low AEG-1 expression (73.3&#x0025;) than among those with high expression (42.9&#x0025;). Among pre-menopausal patients, a higher prevalence of high AEG-1 expression was observed (51.4&#x0025;) compared with low expression (46.7&#x0025;). Elevated CA 125 levels were more common among patients with low AEG-1 expression (100.0&#x0025;) than those with high expression (85.7&#x0025;). Advanced-stage disease was slightly more associated with high AEG-1 expression (54.3&#x0025;) than low expression (40.0&#x0025;). Residual tumors &#x003E;1 cm were slightly more common in patients with low AEG-1 expression (26.7&#x0025;) compared with those with high AEG-1 expression (25.7&#x0025;).</p>
<p>The P-values for each variable were as follows: age, P=0.191, OR=0.396 (95&#x0025; CI: 0.112-1.403); parity, P=0.275; menarche, P=0.095, OR=3.667 (95&#x0025; CI: 0.974-13.806); menopausal status, P=1.000, OR=0.826 (95&#x0025; CI: 0.246-2.776); CA 125 level, P=0.305; residual tumor, P=1.000, OR=0.952 (95&#x0025; CI: 0.241-3.756); and stage, P=0.537, OR=1.781 (95&#x0025; CI: 0.521-6.085). Since all P-values exceeded the threshold of 0.05, none of the assessed characteristics revealed a statistically significant association with AEG-1 expression.</p>
</sec>
<sec>
<title>Differential expression of AEG-1 in OC</title>
<p>AEG-1 expression was analysed to determine whether there was a significant difference between patients with LGSOC and those with HGSOC. The comparison was conducted using the Mann-Whitney U test (<xref rid="tIV-MCO-23-2-02865" ref-type="table">Table IV</xref>).</p>
<p>Among the 23 LGSOC samples, low AEG-1 expression was identified in 11 samples (73.3&#x0025;), while high AEG-1 expression was observed in 12 samples (34.3&#x0025;). By contrast, among the 27 HGSOC samples, low AEG-1 expression was found in four samples (26.7&#x0025;), whereas high AEG-1 expression was detected in 23 samples (65.7&#x0025;). Statistical analysis yielded a relative risk (RR) of 3.228, with a 95&#x0025; CI of 1.188-8.776) and P=0.012.</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>LGSOC and HGSOC are distinct tumor types with differing morphological features, pathogenesis and molecular profiles (<xref rid="b17-MCO-23-2-02865" ref-type="bibr">17</xref>). LGSOC generally has a more favorable prognosis than HGSOC (<xref rid="b11-MCO-23-2-02865" ref-type="bibr">11</xref>,<xref rid="b37-MCO-23-2-02865" ref-type="bibr">37</xref>). In the present study, the initial cohort included 74 patients diagnosed with either HGSOC or LGSOC, comprising 45 patients with HGSOC and 29 with LGSOC. This distribution aligns with existing literature indicating that HGSOC is more prevalent than LGSOC (<xref rid="b13-MCO-23-2-02865" ref-type="bibr">13</xref>,<xref rid="b38-MCO-23-2-02865" ref-type="bibr">38</xref>). HGSOC is the most common subtype of EOC, accounting for &#x007E;2/3 of cases and representing &#x007E;70&#x0025; of the total incidence (<xref rid="b21-MCO-23-2-02865" ref-type="bibr">21</xref>,<xref rid="b39-MCO-23-2-02865" ref-type="bibr">39</xref>). By contrast, LGSOC comprises &#x007E;5&#x0025; to 10&#x0025; of all serous ovarian carcinoma cases (<xref rid="b40-MCO-23-2-02865" ref-type="bibr">40</xref>,<xref rid="b41-MCO-23-2-02865" ref-type="bibr">41</xref>).</p>
<p>The present study investigated several demographic characteristics, including age, parity, menarche and menopausal status. While research exploring the relationship between these variables and AEG-1 expression is limited, numerous studies suggest these factors may influence the risk of developing OC (<xref rid="b42-MCO-23-2-02865" ref-type="bibr">42</xref>). The current findings revealed that younger patients were more frequently diagnosed with LGSOC than with HGSOC, which is consistent with studies that LGSOC tends to occur at a younger age than HGSOC (<xref rid="b9-MCO-23-2-02865" ref-type="bibr">9</xref>,<xref rid="b19-MCO-23-2-02865" ref-type="bibr">19</xref>,<xref rid="b41-MCO-23-2-02865" ref-type="bibr">41</xref>,<xref rid="b43-MCO-23-2-02865" ref-type="bibr">43</xref>).</p>
<p>Infertility has been cited as a risk factor for OC in several studies (<xref rid="b1-MCO-23-2-02865" ref-type="bibr">1</xref>,<xref rid="b2-MCO-23-2-02865" ref-type="bibr">2</xref>,<xref rid="b42-MCO-23-2-02865" ref-type="bibr">42</xref>). Higher parity is associated with fewer ovulatory cycles, which may reduce the opportunity for tumor development due to ovulation-induced injury of the ovarian epithelium (<xref rid="b5-MCO-23-2-02865" ref-type="bibr">5</xref>,<xref rid="b44-MCO-23-2-02865" ref-type="bibr">44</xref>). Additionally, elevated progesterone levels during pregnancy are considered to protect against ovarian carcinogenesis by inhibiting cell proliferation and promoting apoptosis in ovarian epithelial cells (<xref rid="b44-MCO-23-2-02865" ref-type="bibr">44</xref>). A previous study reported that increased parity correlates with a sustained reduction in the risk of EOC (RR=0.81; 95&#x0025; CI: 0.77-0.86) (<xref rid="b5-MCO-23-2-02865" ref-type="bibr">5</xref>). Specifically, higher parity was linked to a significant decrease in LGSOC incidence (RR=0.84; 95&#x0025; CI: 0.76-0.93), while no significant association was found with HGSOC (RR=0.97; 95&#x0025; CI: 0.92-1.02) (heterogeneity: P=0.01) (<xref rid="b45-MCO-23-2-02865" ref-type="bibr">45</xref>). Conversely, another study reported that having more than two pregnancies significantly reduced the risk of HGSOC (RR=0.25; 95&#x0025; CI: 0.19-0.50) (<xref rid="b46-MCO-23-2-02865" ref-type="bibr">46</xref>).</p>
<p>Hormonal and reproductive factors are among the most significant additional risk factors for EOC (<xref rid="b44-MCO-23-2-02865" ref-type="bibr">44</xref>,<xref rid="b47-MCO-23-2-02865" ref-type="bibr">47</xref>). The total number of menstrual cycles throughout a woman&#x0027;s life is positively correlated with an increased risk of EOC, highlighting the potential role of repeated ovulation in ovarian carcinogenesis (<xref rid="b47-MCO-23-2-02865" ref-type="bibr">47</xref>). As a result, early menarche and late menopause, which prolong the ovulatory lifespan, can elevate the risk of developing the disease (<xref rid="b2-MCO-23-2-02865" ref-type="bibr">2</xref>,<xref rid="b42-MCO-23-2-02865" ref-type="bibr">42</xref>). Although specific literature on the role of menarche in LGSOC is currently lacking, it has been suggested that both early menarche and late menopause may increase cumulative estrogen exposure, potentially contributing to a higher risk of HGSOC (<xref rid="b48-MCO-23-2-02865" ref-type="bibr">48</xref>,<xref rid="b49-MCO-23-2-02865" ref-type="bibr">49</xref>).</p>
<p>CA 125 is widely recognized as the most important tumor biomarker for the screening and detection of EOC (<xref rid="b50-MCO-23-2-02865" ref-type="bibr">50</xref>). Elevated serum CA 125 levels are observed in &#x007E;50&#x0025; of early-stage tumors, primarily Type I cancers such as LGSOC and in &#x007E;92&#x0025; of advanced-stage cases, predominantly HGSOC (<xref rid="b50-MCO-23-2-02865" ref-type="bibr">50</xref>,<xref rid="b51-MCO-23-2-02865" ref-type="bibr">51</xref>). Higher CA 125 levels have been associated with increased AEG-1 expression, likely due to AEG-1&#x0027;s role in promoting tumor cell proliferation and cancer progression (<xref rid="b28-MCO-23-2-02865" ref-type="bibr">28</xref>,<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>,<xref rid="b34-MCO-23-2-02865" ref-type="bibr">34</xref>). However, the present findings did not fully align with previous studies, as elevated CA 125 levels were more frequently observed across both groups in our dataset. As a result, the expected cell counts in the statistical analysis exceeded 20&#x0025;, introducing uncertainty in interpreting the association between CA 125 levels and AEG-1 expression.</p>
<p>HGSOC is characterized by marked aggressiveness in its proliferation, invasion and metastatic behavior, often resulting in diagnosis at advanced stages and a higher likelihood of residual tumor masses &#x003E;1 cm (<xref rid="b52-MCO-23-2-02865" ref-type="bibr">52</xref>,<xref rid="b53-MCO-23-2-02865" ref-type="bibr">53</xref>). This understanding supports the current findings, which demonstrated that a significantly greater number of HGSOC cases presented with residual tumor sizes &#x003E;1 cm compared with LGSOC (OR=7.219; 95&#x0025; CI: 1.399-37.252). While this result is consistent with existing literature, the wide CI suggests that the sample size may have been insufficient. Historically, achieving a maximum residual tumor diameter of #x003C;2 cm was considered indicative of successful cytoreductive surgery (<xref rid="b54-MCO-23-2-02865" ref-type="bibr">54</xref>). However, more recent evidence identified that reducing the residual tumor burden to #x003C;1 cm provides improved survival outcomes, and it is now widely accepted that complete macroscopic resection (that is, no visible residual disease or R0) offers the greatest survival benefit (<xref rid="b53-MCO-23-2-02865" ref-type="bibr">53</xref>).</p>
<p>AEG-1 contributes to cancer development and progression by activating multiple oncogenic signaling pathways (<xref rid="b28-MCO-23-2-02865" ref-type="bibr">28</xref>,<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>). Specifically, AEG-1 enhances the PI3K/Akt pathway, promoting the phosphorylation of murine double minute 2 (MDM2) by Akt. This phosphorylation facilitates MDM2&#x0027;s nuclear translocation, leading to the degradation of p53 and enabling continued tumor cell proliferation (<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>,<xref rid="b55-MCO-23-2-02865" ref-type="bibr">55</xref>,<xref rid="b56-MCO-23-2-02865" ref-type="bibr">56</xref>). Additionally, the PI3K/Akt pathway is involved in angiogenesis, as Akt activation upregulates HIF-1 expression, which in turn increases VEGF transcription (<xref rid="b35-MCO-23-2-02865" ref-type="bibr">35</xref>,<xref rid="b57-MCO-23-2-02865" ref-type="bibr">57</xref>,<xref rid="b58-MCO-23-2-02865" ref-type="bibr">58</xref>). AEG-1 also plays a key role in cancer cell migration, invasion and metastasis through the activation of the NF-&#x03BA;B pathway (<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>). Within this pathway, AEG-1 interacts with multiple components, serving as a crucial mediator in NF-&#x03BA;B activation and the subsequent induction of inflammation (<xref rid="b59-MCO-23-2-02865" ref-type="bibr">59</xref>,<xref rid="b60-MCO-23-2-02865" ref-type="bibr">60</xref>). Moreover, by inhibiting retinoid X receptor function, AEG-1 has emerged as a significant regulator of lipid metabolism and the tumor microenvironment during cancer development (<xref rid="b59-MCO-23-2-02865" ref-type="bibr">59</xref>).</p>
<p>According to current theoretical frameworks, AEG-1 is associated with the clinicopathological characteristics of various cancers, including OC. Previous studies investigating AEG-1 expression in OC have demonstrated significant associations with several clinical variables, including age over 55 years (P=0.031), advanced FIGO stage (P#x003C;0.001), higher histological grade (P#x003C;0.001), elevated CA 125 levels (&#x003E;35 U/ml, P#x003C;0.001), residual tumor size &#x003E;1 cm (P#x003C;0.001) and lymph node metastasis (P=0.027) (<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>).</p>
<p>By contrast, the present study did not identify a statistically significant association between AEG-1 expression and these clinicopathological characteristics. However, this does not diminish the relevance of the findings. Limitations such as a relatively small sample size and uneven group distribution likely impacted the statistical power, underscoring the need for future studies with larger cohorts or alternative study designs.</p>
<p>Compared with LGSOC, AEG-1 appears to play a role consistent with the more aggressive biological behavior of HGSOC, contributing to increased cancer cell proliferation and invasiveness (<xref rid="b28-MCO-23-2-02865" ref-type="bibr">28</xref>,<xref rid="b30-MCO-23-2-02865" ref-type="bibr">30</xref>,<xref rid="b36-MCO-23-2-02865" ref-type="bibr">36</xref>). HGSOC is clinically recognized for its aggressive progression and poor prognosis (<xref rid="b10-MCO-23-2-02865" ref-type="bibr">10</xref>,<xref rid="b11-MCO-23-2-02865" ref-type="bibr">11</xref>,<xref rid="b22-MCO-23-2-02865" ref-type="bibr">22</xref>). The findings of the present study support this distinction, revealing that AEG-1 expression was significantly higher in HGSOC than in LGSOC (RR=3.228; 95&#x0025; CI: 1.188-8.776) with the effect size, calculated using Cohen&#x0027;s D, is 0.745. These findings suggest that the aggressive clinical course of HGSOC may be partly driven by elevated levels of AEG-1 expression.</p>
<p>In conclusion, the present study demonstrated a significant difference in AEG-1 expression between HGSOC and LGSOC, with higher levels observed more frequently in HGSOC. These findings contribute to an improved understanding of the molecular distinctions between these two subtypes of EOC and may serve as foundational data for future research. Ultimately, such insights can support more tailored therapeutic approaches and improve patient outcomes and quality of life.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors are grateful to Dr Sri Ratna Dwiningsih, the supervisor of the study program at the Department of Obstetrics and Gynecology at Airlangga University, for her support in conducting this research. Mr Ary Wahyudiono, a laboratory technician at the Department of Pathology at Universitas Airlangga in Surabaya, assisted in the preparation of paraffin blocks for this investigation. Ms Renata Alya Ulhaq, a medical writer, contributed to the manuscript&#x0027;s substance by ensuring its comprehensiveness.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The data generated in the present study may be requested from the corresponding author.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>BI and BAT were responsible for the design of the present study, the analysis, and the composition of the manuscript. BI and BU conducted the data extraction and performed an analysis of the results. GA performed the histological examination and image analysis. WS, IY, and PM contributed essential revisions to the document. BI, BAT and BU confirm the authenticity of all the raw data. All authors contributed to the interpretation of data and the revision of the manuscript, read and approved the final version of the manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The present study was approved by the Institutional Review Board (IRB) of Dr Soetomo Hospital Surabaya (approval no. 1641/LOE/301.4/2/IV/2024; Surabaya, Indonesia). Data management adhered carefully to patient confidentiality and privacy regulations. Anonymized and de-identified data were used to uphold participant rights and privacy. The IRB approved the use of anonymised patient data after careful evaluation of the limited associated risks. Acquiring written informed consent was waived by the IRB of Dr. Soetomo Hospital Surabaya.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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</back>
<floats-group>
<fig id="f1-MCO-23-2-02865" position="float">
<label>Figure 1</label>
<caption><p>Schematic representation of research subject selection. HGSOC, high-grade serous ovarian carcinoma; LGSOC, low-grade serous ovarian carcinoma; NAC, neoadjuvant chemotherapy.</p></caption>
<graphic xlink:href="mco-23-02-02865-g00.tif"/>
</fig>
<fig id="f2-MCO-23-2-02865" position="float">
<label>Figure 2</label>
<caption><p>Expression of Astrocyte Elevated Gene-1 (magnification, x400). (A) Proportion #x003C;50&#x0025;, low staining. (B) Proportion &#x003E;50&#x0025;, moderate staining. (C) Proportion &#x003E;50&#x0025;, strong staining.</p></caption>
<graphic xlink:href="mco-23-02-02865-g01.tif"/>
</fig>
<table-wrap id="tI-MCO-23-2-02865" position="float">
<label>Table I</label>
<caption><p>Descriptive distribution of patient data.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Patient characteristics</th>
<th align="center" valign="middle">n (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age, years</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x2264;55</td>
<td align="center" valign="middle">34(68)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x003E;55</td>
<td align="center" valign="middle">16(32)</td>
</tr>
<tr>
<td align="left" valign="middle">Parity</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Nullipara</td>
<td align="center" valign="middle">19(38)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Primipara</td>
<td align="center" valign="middle">10(20)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Multipara</td>
<td align="center" valign="middle">21(42)</td>
</tr>
<tr>
<td align="left" valign="middle">Menarche</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Early menarche</td>
<td align="center" valign="middle">26(52)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Normal menarche</td>
<td align="center" valign="middle">24(48)</td>
</tr>
<tr>
<td align="left" valign="middle">Menopausal status</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;No</td>
<td align="center" valign="middle">25(50)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="middle">25(50)</td>
</tr>
<tr>
<td align="left" valign="middle">CA 125 level</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Normal</td>
<td align="center" valign="middle">5(10)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;High</td>
<td align="center" valign="middle">45(90)</td>
</tr>
<tr>
<td align="left" valign="middle">Residual tumor</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x2264;1 cm</td>
<td align="center" valign="middle">37(74)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x003E;1 cm</td>
<td align="center" valign="middle">13(26)</td>
</tr>
<tr>
<td align="left" valign="middle">Stage</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Early stage</td>
<td align="center" valign="middle">25(50)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Advanced stage</td>
<td align="center" valign="middle">25(50)</td>
</tr>
<tr>
<td align="left" valign="middle">AEG-1 expression</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Low</td>
<td align="center" valign="middle">15(30)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;High</td>
<td align="center" valign="middle">35(70)</td>
</tr>
<tr>
<td align="left" valign="middle">Ovarian cancer</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Low grade</td>
<td align="center" valign="middle">23(46)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;High grade</td>
<td align="center" valign="middle">27(54)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-MCO-23-2-02865" position="float">
<label>Table II</label>
<caption><p>Characteristic evaluation for ovarian cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="2">&#x00A0;</th>
<th align="center" valign="middle" colspan="2">Ovarian cancer</th>
<th align="center" valign="middle" colspan="2">&#x00A0;</th>
</tr>
<tr>
<th align="left" valign="middle">Patient characteristics</th>
<th align="center" valign="middle">Total (n=50)</th>
<th align="center" valign="middle">Low grade, n (&#x0025;)</th>
<th align="center" valign="middle">High grade, n (&#x0025;)</th>
<th align="center" valign="middle">Raw P-value</th>
<th align="center" valign="middle">Adjusted P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age, years</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x2264;55</td>
<td align="center" valign="middle">34</td>
<td align="center" valign="middle">16 (69.6)</td>
<td align="center" valign="middle">18 (66.7)</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">1.167</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x003E;55</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">7 (30.4)</td>
<td align="center" valign="middle">9 (33.3)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Parity</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Nullipara</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="middle">7 (30.4)</td>
<td align="center" valign="middle">12 (44.4)</td>
<td align="center" valign="middle">0.399</td>
<td align="center" valign="middle">0.698</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Primipara</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">4 (17.4)</td>
<td align="center" valign="middle">6 (22.2)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Multipara</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">12 (52.2)</td>
<td align="center" valign="middle">9 (33.3)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Menarche</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Early menarche</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">14 (60.9)</td>
<td align="center" valign="middle">12 (44.4)</td>
<td align="center" valign="middle">0.382</td>
<td align="center" valign="middle">0.891</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Normal menarche</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">9 (39.1)</td>
<td align="center" valign="middle">15 (55.6)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Menopausal status</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;No</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">13 (56.5)</td>
<td align="center" valign="middle">12 (44.4)</td>
<td align="center" valign="middle">0.570</td>
<td align="center" valign="middle">0.798</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">10 (43.5)</td>
<td align="center" valign="middle">15 (55.6)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">CA 125 level</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Normal</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">5 (18.5)</td>
<td align="center" valign="middle">0.054<sup><xref rid="tfna-MCO-23-2-02865" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">0.189</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;High</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">23(100)</td>
<td align="center" valign="middle">22 (81.5)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Residual tumor</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x2264;1 cm</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">21 (91.3)</td>
<td align="center" valign="middle">16 (59.3)</td>
<td align="center" valign="middle">0.024</td>
<td align="center" valign="middle">0.168</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x003E;1 cm</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">2 (8.7)</td>
<td align="center" valign="middle">11 (40.7)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Stage</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Early stage</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">12 (52.2)</td>
<td align="center" valign="middle">13 (48.1)</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">1.000</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Advanced stage</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">11 (47.8)</td>
<td align="center" valign="middle">14 (51.9)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Statistical analysis was performed using chi-square test and adjustment of P-value using Benjamin-Hochberg procedure.</p></fn>
<fn id="tfna-MCO-23-2-02865"><p><sup>a</sup>Statistical analysis use Fisher&#x0027;s Extract test (expected count &#x003E;20&#x0025;).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-MCO-23-2-02865" position="float">
<label>Table III</label>
<caption><p>Characterization test based on AEG-1 expression.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="2">&#x00A0;</th>
<th align="center" valign="middle" colspan="2">Expression level of AEG-1</th>
<th align="center" valign="middle" colspan="2">&#x00A0;</th>
</tr>
<tr>
<th align="left" valign="middle">Patient characteristics</th>
<th align="center" valign="middle">Total (n=50)</th>
<th align="center" valign="middle">Low, n (&#x0025;)</th>
<th align="center" valign="middle">High, n (&#x0025;)</th>
<th align="center" valign="middle">Raw P-value</th>
<th align="center" valign="middle">Adjusted P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age, years</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x2264;55</td>
<td align="center" valign="middle">34</td>
<td align="center" valign="middle">8 (53.3)</td>
<td align="center" valign="middle">26 (74.3)</td>
<td align="center" valign="middle">0.191<sup><xref rid="tfn1-a-MCO-23-2-02865" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">0.668</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x003E;55</td>
<td align="center" valign="middle">16</td>
<td align="center" valign="middle">7 (46.7)</td>
<td align="center" valign="middle">9 (25.7)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Parity</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Nullipara</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="middle">6 (40.0)</td>
<td align="center" valign="middle">13 (37.1)</td>
<td align="center" valign="middle">0.275</td>
<td align="center" valign="middle">0.641</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Primipara</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">1 (6.7)</td>
<td align="center" valign="middle">9 (25.7)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Multipara</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">8 (53.3)</td>
<td align="center" valign="middle">13 (37.1)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Menarche</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Early menarche</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">11 (73.3)</td>
<td align="center" valign="middle">15 (42.9)</td>
<td align="center" valign="middle">0.095</td>
<td align="center" valign="middle">0.665</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Normal menarche</td>
<td align="center" valign="middle">24</td>
<td align="center" valign="middle">4 (26.7)</td>
<td align="center" valign="middle">20 (57.1)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Menopausal status</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;No</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">7 (46.7)</td>
<td align="center" valign="middle">18 (51.4)</td>
<td align="center" valign="middle">1.000</td>
<td align="center" valign="middle">1,167</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">8 (53.3)</td>
<td align="center" valign="middle">17 (48.6)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">CA 125 level</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Normal</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">0 (0.0)</td>
<td align="center" valign="middle">5 (14.3)</td>
<td align="center" valign="middle">0.305<sup><xref rid="tfn1-a-MCO-23-2-02865" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">0,533</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;High</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">15 (100.0)</td>
<td align="center" valign="middle">30 (85.7)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Residual tumor</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x2264;1 cm</td>
<td align="center" valign="middle">37</td>
<td align="center" valign="middle">11 (73.3)</td>
<td align="center" valign="middle">26 (74.3)</td>
<td align="center" valign="middle">1.000<sup><xref rid="tfn1-a-MCO-23-2-02865" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">1.000</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x003E;1 cm</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">4 (26.7)</td>
<td align="center" valign="middle">9 (25.7)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Stage</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Early stage</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">9 (60.0)</td>
<td align="center" valign="middle">16 (45.7)</td>
<td align="center" valign="middle">0.537</td>
<td align="center" valign="middle">0.751</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Advanced stage</td>
<td align="center" valign="middle">25</td>
<td align="center" valign="middle">6 (40.0)</td>
<td align="center" valign="middle">19 (54.3)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Statistical analysis was performed using chi-square test and adjustment of P-value using Benjamin-Hochberg procedure.</p></fn>
<fn id="tfn1-a-MCO-23-2-02865"><p><sup>a</sup>Statistical analysis use Fisher&#x0027;s Extract test (expected count &#x003E;20&#x0025;). AEG-1, Astrocyte Elevated Gene-1.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-MCO-23-2-02865" position="float">
<label>Table IV</label>
<caption><p>Analysis of differences in AEG-1 expression in ovarian cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="2">&#x00A0;</th>
<th align="center" valign="middle" colspan="2">Expression level of AEG-1</th>
<th align="center" valign="middle" colspan="4">&#x00A0;</th>
</tr>
<tr>
<th align="left" valign="middle">Ovarian cancer</th>
<th align="center" valign="middle">Total (n=50)</th>
<th align="center" valign="middle">Low, n (&#x0025;)</th>
<th align="center" valign="middle">High, n (&#x0025;)</th>
<th align="center" valign="middle">Mann-Whitney U</th>
<th align="center" valign="middle">Sig. P-value</th>
<th align="center" valign="middle">Relative risk (95&#x0025; confidence interval)</th>
<th align="center" valign="middle">Effect size</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Low grade</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">11 (73.3)</td>
<td align="center" valign="middle">12 (34.3)</td>
<td align="center" valign="middle">160</td>
<td align="center" valign="middle">0.012</td>
<td align="center" valign="middle">3.228 (1.188-8.776)</td>
<td align="center" valign="middle">0.745</td>
</tr>
<tr>
<td align="left" valign="middle">High grade</td>
<td align="center" valign="middle">27</td>
<td align="center" valign="middle">4 (26.7)</td>
<td align="center" valign="middle">23 (65.7)</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Statistical analysis using Mann-Whitney U test. Effect size calculation using Cohen&#x0027;s D. AEG-1, Astrocyte Elevated Gene-1.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
