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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">WASJ</journal-id>
<journal-title-group>
<journal-title>World Academy of Sciences Journal</journal-title>
</journal-title-group>
<issn pub-type="ppub">2632-2900</issn>
<issn pub-type="epub">2632-2919</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">WASJ-8-3-00462</article-id>
<article-id pub-id-type="doi">10.3892/wasj.2026.462</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Sex hormone and receptor imbalance in women with bladder cancer: A molecular and physiological study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lazim</surname><given-names>Faisal G.</given-names></name>
<xref rid="af1-WASJ-8-3-00462" ref-type="aff">1</xref>
<xref rid="c1-WASJ-8-3-00462" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Luaibi</surname><given-names>Noori M.</given-names></name>
<xref rid="af1-WASJ-8-3-00462" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Alsaimary</surname><given-names>Ihsan E.</given-names></name>
<xref rid="af2-WASJ-8-3-00462" ref-type="aff">2</xref>
</contrib>
</contrib-group>
<aff id="af1-WASJ-8-3-00462"><label>1</label>Department of Biology, College of Science, Mustansiriyah University, Baghdad 10064, Iraq</aff>
<aff id="af2-WASJ-8-3-00462"><label>2</label>Department of Microbiology, College of Medicine, University of Basrah, Basrah 61001, Iraq</aff>
<author-notes>
<corresp id="c1-WASJ-8-3-00462"><italic>Correspondence to:</italic> Dr Faisal G. Lazim, Department of Biology, College of Science, Mustansiriyah University, 506 Falastin Street, Al Mustansiriyah, Baghdad 10064, Iraq <email>faisal.ghazi@uomustansiriyah.edu.iq</email></corresp>
</author-notes>
<pub-date pub-type="collection"><season>May-Jun</season><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>06</day><month>04</month><year>2026</year></pub-date>
<volume>8</volume>
<issue>3</issue>
<elocation-id>47</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>09</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>03</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; 2026 Lazim et al.</copyright-statement>
<copyright-year>2026</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/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.</license-p></license>
</permissions>
<abstract>
<p>Bladder cancer is one of the most common malignancies of the urinary tract, characterized by high recurrence and morbidity rates. The majority of bladder cancer cases occur in older individuals, with the prevalence rising with age. The present study aimed to evaluate the levels of sex hormones (estrogen and testosterone) and their corresponding receptors &#x005B;androgen receptor (AR) and estrogen receptor 1 (ESR1)&#x005D; to determine whether they are risk factors for the pathogenesis and progression of bladder cancer in women. A total of 122 female participants were enrolled in the present study, including 50 patients diagnosed with bladder cancer and 72 age-matched participants who served as the control group. Blood samples and tissue biopsies were collected from the participants. Hormone levels were measured using the Cobase automated analyzer, while the gene expression levels of receptors were assessed using reverse transcription-quantitative PCR. The results showed a significant increase in the levels of the estrogen and testosterone hormones in the patient group. The results also demonstrated a significant increase in AR gene expression, but a decrease in ESR1 gene expression in the patients compared with the control group. These findings support a potential link between sex hormone imbalance and altered receptor expression in the pathophysiology of bladder cancer in women.</p>
</abstract>
<kwd-group>
<kwd>bladder cancer</kwd>
<kwd>reproductive hormones</kwd>
<kwd>androgen receptor</kwd>
<kwd>estrogen receptor</kwd>
<kwd>gene expression</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>Bladder cancer is the ninth most common cancer worldwide, with 614,298 new bladder cancer cases reported globally in 2022; it is the sixth most common cancer in men (523,674 cases; 5.4&#x0025; of all newly diagnosed cancer cases) and the 17th in women (143,005 cases; age-standardized rate of 2.4 per 100,000), showing a marked male predominance (<xref rid="b1-WASJ-8-3-00462" ref-type="bibr">1</xref>). Bladder cancer accounts for &#x007E;2.7&#x0025; of all cancer fatalities and 4.2&#x0025; of all newly discovered cancer cases, with a 5-year relative overall survival rate of 77.9&#x0025; (<xref rid="b2-WASJ-8-3-00462" ref-type="bibr">2</xref>). The prevalence of bladder cancer increases with age progression and the majority of cases (80&#x0025;) occur in individuals aged &#x003E;65 years (<xref rid="b3-WASJ-8-3-00462" ref-type="bibr">3</xref>). In total, &#x003E;95&#x0025; of bladder cancer originates from the urothelium, the inner lining of the urinary tract, and is referred to as urothelial carcinoma (<xref rid="b4-WASJ-8-3-00462" ref-type="bibr">4</xref>). As the urothelium spans both the upper and lower urinary tracts, tumors can develop in either region. Bladder cancer is classified by tumor invasiveness, as non-muscle invasive bladder cancer or muscle-invasive blader cancer, and by cellular grade (<xref rid="b2-WASJ-8-3-00462" ref-type="bibr">2</xref>). Hematuria is the most common initial symptom leading to diagnosis; thus, an assessment for bladder cancer is conducted only after presenting with symptoms such as hematuria, and notably, 20&#x0025; of patients will have locally advanced or metastatic bladder cancer (<xref rid="b5-WASJ-8-3-00462" ref-type="bibr">5</xref>).</p>
<p>Cells in multicellular organisms communicate through signaling mechanisms that regulate growth, development and homeostasis (<xref rid="b6-WASJ-8-3-00462" ref-type="bibr">6</xref>). This occurs via direct contact or chemical messengers that bind to specific receptors on or inside the target cells. Cellular receptors can be either intracellular or cell surface proteins; intracellular receptors bind lipid-soluble messengers, while cell surface receptors interact with water-soluble molecules (<xref rid="b7-WASJ-8-3-00462" ref-type="bibr">7</xref>). Disruptions in these pathways can lead to cancer-related changes such as uncontrolled growth and resistance to cell death (<xref rid="b8-WASJ-8-3-00462" ref-type="bibr">8</xref>). Several tissues, including the testes, ovaries, endometrium, prostate, kidneys, liver, circulatory system, brain, neurological system, skeletal muscle, skin and bladder, have been shown to express and act upon androgens and estrogen binding to their receptors (<xref rid="b9-WASJ-8-3-00462" ref-type="bibr">9</xref>). Androgens, mainly testosterone and its effective derivative dihydrotestosterone (DHT), act through the androgen receptor (AR), a ligand-activated transcription factor of the nuclear receptor superfamily (<xref rid="b10-WASJ-8-3-00462" ref-type="bibr">10</xref>). The AR, a 110 kDa protein with 919 amino acids, serves a key role in regulating the expression of genes involved in numerous physiological and pathological processes (<xref rid="b11-WASJ-8-3-00462" ref-type="bibr">11</xref>). Conversely, estrogens, particularly estradiol (E2), act mainly via two estrogen receptors (ERs), Er&#x03B1; and Er&#x03B2; &#x005B;which are encoded by estrogen receptor 1 (ESR1) and estrogen receptor 2 (ESR2) genes, respectively&#x005D;. Important physiological processes, including reproduction, metabolism, bone density maintenance and the development of estrogen-responsive malignancies, such as endometrial and breast cancer, are known to be mediated by these receptors (<xref rid="b12-WASJ-8-3-00462" ref-type="bibr">12</xref>). The ERs belong to a nuclear receptor superfamily that has the capacity to convert extracellular signals into transcriptional signals (<xref rid="b13-WASJ-8-3-00462" ref-type="bibr">13</xref>).</p>
<p>Understanding the interplay between androgen/estrogen hormones and their receptors may not only clarify the observed sex disparity in bladder cancer incidence but also provide new therapeutic targets. Hormone receptor modulators, such as AR antagonists or selective ER modulators, are being investigated for their potential to halt disease progression and improve treatment responses in patients with bladder cancer (<xref rid="b11-WASJ-8-3-00462" ref-type="bibr">11</xref>). The present study aimed to examine the levels of sex hormones, specifically estrogen and testosterone, in women diagnosed with bladder cancer, and to evaluate alterations in the expression of their corresponding receptors, including AR and ESR1, within bladder tissue. Furthermore, the present study aimed to investigate whether hormonal and receptor disorder may serve as risk factors in the pathogenesis and progression of bladder cancer in women.</p>
</sec>
<sec sec-type="Patients|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>Study design and participants</title>
<p>In the present study, participants were prospectively recruited between July 2024 and January 2025, from various locations, including the Medicine City (Ghazi Al-Hariri Surgical Specialties Hospital and Al-Amal National Hospital in Baghdad, Iraq) as well as Al-Shifa Center for Oncology Treatment in Maysan, Iraq. Sample collection and data acquisition were conducted in accordance with standardized clinical procedures and predefined study protocols.</p>
<p>The present case-control study involved 122 participants, all of whom were women of different ages ranging from 35-80 years, with a median age of 64 years. Among the participants, 50 patients who were diagnosed with bladder cancer (<xref rid="tI-WASJ-8-3-00462" ref-type="table">Table I</xref>) provided blood samples for hormonal analysis, of whom 22 also contributed tissue specimens &#x005B;as formalin-fixed, paraffin-embedded (FFPE) blocks&#x005D; for molecular studies. The control group included 72 age-matched individuals of whom 50 provided blood samples for hormonal comparison with the patient group, whereas the remaining 22 had benign tumors that were histologically diagnosed as benign urothelial papilloma and endometriosis of the urinary bladder. These diagnoses were confirmed by histopathological examination, with no evidence of malignancy or dysplasia. FFPE tissue specimens were collected from these cases and used as a comparison group for the bladder cancer tissue data (<xref rid="f1-WASJ-8-3-00462" ref-type="fig">Fig. 1</xref>). For both the patient and control groups, venous blood samples were obtained and immediately processed by centrifugation at 3,000 x g for 10 min at room temperature (20-25&#x02DA;C) to separate the serum, which was then aliquoted and stored in a deep freeze until further analysis. The present study was performed in compliance with the Declaration of Helsinki and approved by the Institutional Review Committee of College of Science, in cooperation with the Local Ethics Committee of the Biology Department, Mustansiriyah University (Baghdad, Iraq; January 2024; approval. no. BCSMU/1024/0062Z).</p>
</sec>
<sec>
<title>Inclusion criteria</title>
<p>The inclusion criteria were as follows: Patient group: i) Female patients of any age with a confirmed diagnosis of malignant bladder tumor based on histopathological examination; and ii) participants who provided informed consent for study participation. Disease stage or grade was not used as an eligibility criterion as all stages and grades of bladder cancer were included. The control group was: i) Healthy female volunteers age-matched to the patient group; and ii) female patients of any age with a confirmed diagnosis of benign bladder tumor based on histopathological examination.</p>
<p><italic>Exclusion criteria.</italic> The exclusion criteria were as follows: i) Male participants; ii) individuals with any other diseases, including malignancies other than bladder cancer, autoimmune or chronic inflammatory conditions or infectious diseases; iii) FFPE tissue samples with inadequate quantity, poor preservation or RNA of insufficient quality for gene expression analysis; and iv) participants who had recently undergone chemotherapy, radiotherapy or immunotherapy.</p>
</sec>
<sec>
<title>Primer design and gene targets</title>
<p>Primers were designed using Primer 3 Plus (version 4; <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.primer3plus.com">https://www.primer3plus.com</ext-link>) and their reference sequences were validated against the National Center for Biotechnology Information database using UCSC Genome Browser Basic Local Alignment Search Tool (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://blast.ncbi.nlm.nih.gov/blast.cgi">https://blast.ncbi.nlm.nih.gov/blast.cgi</ext-link>). The primers were synthesized and lyophilized by Alpha DNA. <xref rid="tII-WASJ-8-3-00462" ref-type="table">Table II</xref> contains all of the primer sequences utilized in the present study.</p>
</sec>
<sec>
<title>RNA extraction and reverse transcription-quantitative PCR (RT-qPCR)</title>
<p>The TransZol Up Plus RNA Kit Reagent (Tissue) (TransGen Biotech Co., Ltd.; cat. no. ER501-01) was used to extract total RNA from each bladder tissue sample according to the manufacturer&#x0027;s instructions. RNA concentration was determined using a NanoDrop spectrophotometer (Thermo Fisher Scientific, Inc.) and RNA purity was assessed by the A<sub>260</sub>/A<sub>280</sub> ratio, which was &#x007E;2.0. Total RNA was reverse-transcribed to complementary DNA (cDNA) using the EasyScript<sup>&#x00AE;</sup> One-Step gDNA Removal and cDNA Synthesis SuperMix Kit (TransGen Biotech Co., Ltd.; cat. no. AE311-02) according to the manufacturer&#x0027;s instructions. The reaction was performed at 25&#x02DA;C for 10 min in a final volume of 20 &#x00B5;l, with 4 &#x00B5;l of total RNA and a random primer.</p>
<p>Target gene expression was confirmed by qPCR, a sensitive technique for assessing steady-state mRNA levels. The Qiagen Rotor Gene Q Real-time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc.) was used to perform qPCR. The expression levels and fold changes of the target genes and the housekeeping gene, GAPDH, were quantified using the TransStart<sup>&#x00AE;</sup> Top Green qPCR SuperMix Kit (TransGen Biotech Co., Ltd.; cat. no. AQ131-01) in a 20 &#x00B5;l reaction mixture consisting of 10 &#x00B5;l 2X qPCR SuperMix, 4 &#x00B5;l nuclease-free water, 1 &#x00B5;l of each forward and reverse primer (10 &#x00B5;M) and 4 &#x00B5;l of cDNA. The thermocycler protocol included an initial enzyme activation step at 94&#x02DA;C for 30 sec, followed by 40 cycles of denaturation at 94&#x02DA;C for 5 sec, annealing at 58&#x02DA;C for 15 sec (60&#x02DA;C for GAPDH) and extension at 72&#x02DA;C for 20 sec. A dissociation curve analysis was performed at 55-95&#x02DA;C to verify product specificity.</p>
<p>The RT-qPCR efficiency of each primer set was determined by serial dilutions of cDNA template from the bladder tissue of women that diagnosed with malignant and benign tumor. standard curve was generated by preparing serial dilutions of a cDNA template, and each primer pair was tested across the dilution series. The slope of the linear equation was applied to calculate the efficiency according to the equation E=(10<sup>(-1/slope)</sup>-1) x100 where E=PCR efficiency (&#x0025;) and slope=slope of standard curve. The PCR efficiency of studied genes ranged from 89.4 to 103.8&#x0025;, slope from -3.61 to -3.23 and R<sup>2</sup> from 0.995 to 0.998.</p>
<p>GAPDH was selected as the internal reference gene for normalization of the qPCR data; it encodes a key glycolytic enzyme that is constitutively and ubiquitously expressed across mammalian tissues, demonstrating high amplification efficiency and stable expression in both normal and pathological conditions, including malignant and benign tissues, ensuring reliable and consistent detection across all samples (<xref rid="b14-WASJ-8-3-00462" ref-type="bibr">14</xref>). Fold changes in the quantified expression levels of mRNA were determined using the relative cycle threshold (2<sup>-&#x2206;&#x2206;Cq</sup>) method as originally described by Livak and Schmittgen (<xref rid="b15-WASJ-8-3-00462" ref-type="bibr">15</xref>). Each sample was run in duplicate and the mean Cq values for both GAPDH and the target genes were recorded for the patients and controls.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analyses were performed using GraphPad Prism (version 9.2; Dotmatics). Additionally, <italic>a priori</italic> power analysis was performed using G&#x002A;Power (version 3.1.9.7; Heinrich-Heine-Universit&#x00E4;t D&#x00FC;sseldorf, Germany). The present study included 50 patients and 72 control participants. Based on <italic>a priori</italic> power analysis assuming a medium effect size (Cohen&#x0027;s d=0.5), a significance level of &#x03B1;=0.05 and a two-sided test, the statistical power of the present sample was 80&#x0025;. Normality of the continuous variables was evaluated using the Kolmogorov-Smirnov (KS) and Shapiro-Wilk (SW) tests. Based on the normality evaluation, for variables that satisfied the assumption of normality, comparisons between two independent groups were performed using an unpaired two-tailed t-test. For variables that did not satisfy the assumption of normality, non-parametric statistical methods were applied: Comparisons between two independent groups were performed using the Mann-Whitney U test. Monotonic associations between variables were examined using Spearman&#x0027;s rank correlation coefficient (&#x03C1;). P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Age of the patient and control groups</title>
<p>The age distribution of participants was divided into five categories. Among the 50 patients with bladder cancer, the age groups were 30-39 years (n=3; 6&#x0025;), 40-49 years (n=6; 12&#x0025;), 50-59 years (n=7; 14&#x0025;), 60-69 years (n=13; 26&#x0025;) and &#x2265;70 years (n=21; 42&#x0025;) (<xref rid="f2-WASJ-8-3-00462" ref-type="fig">Fig. 2</xref>). In the control group (n=72), the age distributions were similar, with 30-39 years (n=6; 8&#x0025;), 40-49 years (n=10; 14&#x0025;), 50-59 years (n=12; 17&#x0025;), 60-69 years (n=17; 24&#x0025;) and &#x2265;70 years (n=27; 37&#x0025;) (<xref rid="f2-WASJ-8-3-00462" ref-type="fig">Fig. 2</xref>). Unpaired t-test analysis revealed no statistically significant differences in the age distribution between the patients and controls (P&#x003E;0.05), indicating appropriate age-matching across the groups.</p>
</sec>
<sec>
<title>Normality testing</title>
<p>Prior to conducting the statistical analysis, the distribution of the data was assessed using the KS and SW tests for normality (<xref rid="tIII-WASJ-8-3-00462" ref-type="table">Table III</xref>). Regarding the serum hormone levels, testosterone demonstrated normal distribution in both the control (KS test: P=0.199; SW test: P=0.140) and patient (KS test: P=0.200; SW test: P=0.181) groups; however, the estrogen levels in the control group showed a normal distribution (KS test: P=0.200; SW test: P=0.955), while the patient group exhibited significant deviation from normality (KS test: P=0.006; SW test: P=0.001).</p>
<p>For receptor gene expression in bladder tissues, ESR1 expression showed mixed results, with the control group demonstrating normal distribution (KS test: P=0.186; SW test: P=0.045), while the patient group showed significant deviation from normality (KS test: P=0.000; SW test: P=0.003). AR expression in the control group showed normal distribution (KS test: P=0.200; SW test: P=0.557), whereas the patient group demonstrated significant deviation from normality (KS test: P=0.085; SW test: P=0.029). These results are summarized in <xref rid="tIV-WASJ-8-3-00462" ref-type="table">Table IV</xref>.</p>
</sec>
<sec>
<title>Serum reproductive hormone levels</title>
<p>The serum levels of estrogen and testosterone in the patient (n=50) and healthy control (n=50) groups were evaluated and compared using the Mann-Whitney U test (<xref rid="tV-WASJ-8-3-00462" ref-type="table">Table V</xref>). The serum testosterone levels were significantly higher in the patient group (mean rank=54.40) compared with the control group (mean rank=26.60), with a Mann-Whitney U value of 244.000 (Z=-5.350; P&#x003C;0.001). Similarly, serum estrogen levels showed a significant increase in the patient group (mean rank=55.52) relative to the control group (mean rank=35.48), with a Mann-Whitney U value of 561.500 (Z=-3.640; P&#x003C;0.001). These findings indicate marked dysregulation of the circulating reproductive hormones in female patients with bladder cancer, characterized by elevated levels of both androgens and estrogens.</p>
</sec>
<sec>
<title>Analysis of gene expression</title>
<p>The expression levels of the target genes, AR and ESR1, in the bladder cancer tissue samples were assessed using RT-qPCR amplification curves, which were compared with the housekeeping gene internal control, GAPDH (<xref rid="SD1-WASJ-8-3-00462" ref-type="supplementary-material">Fig. S1</xref>, <xref rid="SD2-WASJ-8-3-00462" ref-type="supplementary-material">S2</xref> and <xref rid="SD3-WASJ-8-3-00462" ref-type="supplementary-material">S3</xref>). The stable and consistent expression of GAPDH was confirmed by the amplification plots, which showed early Cq values with little change between samples, demonstrating its appropriateness for the normalization of the target genes. However, the AR and ESR1 amplification curves showed inconsistency in the Cq values, suggesting that their transcript abundances were different to GAPDH. The specificity and effectiveness of the reactions were validated by the sigmoidal amplification patterns shown for every gene, which were distinguished by discrete exponential phases and notable separation from the negative controls. The assumption of identical amplification efficiencies was further supported by the comparable slopes of the target and housekeeping gene curves, which guaranteed the accuracy of the relative quantification.</p>
<p>Statistical analysis of gene expression in the bladder tissues revealed contrasting patterns for AR and ESR1 expression (<xref rid="tVI-WASJ-8-3-00462" ref-type="table">Table VI</xref>). AR gene expression was significantly upregulated in the bladder cancer tissues (mean rank=28.05) compared with the benign control tissues (mean rank=14.30), with a Mann-Whitney U value of 76.000 (Z=-3.629; P=0.002). This marked increase in AR expression suggests enhanced androgenic signaling capacity within the bladder cancer tumor microenvironment. By contrast, ESR1 gene expression was significantly downregulated in the bladder cancer tissues (mean rank=17.59) compared with the control tissues (mean rank=25.80), with a Mann-Whitney U value of 134.000 (Z=-2.169; P=0.030). This reduction in ESR1 expression, occurring despite elevated circulating estrogen levels, indicates a disruption in the estrogen-mediated signaling pathways.</p>
<p>Collectively, these findings demonstrate a distinct pattern of hormone receptor dysregulation in female patients with bladder cancer, characterized by enhanced AR expression coupled with diminished ESR1 expression, which may contribute to an imbalance favoring pro-oncogenic androgen signaling while reducing the estrogen-mediated protective effects.</p>
</sec>
<sec>
<title>Correlation between hormone levels and bladder cancer stage</title>
<p>To further explore the clinical significance of hormonal dysregulation, Spearman&#x0027;s correlation analysis was performed to examine the correlation between serum hormone levels and bladder cancer stage in female patients (n=50; <xref rid="tVII-WASJ-8-3-00462" ref-type="table">Table VII</xref>). The analysis revealed a weak positive correlation between serum testosterone levels and cancer stage (&#x03C1;=0.263; P=0.05), suggesting a pattern where higher testosterone levels tended to be correlated with more advanced disease stages. More notably, the serum estrogen levels demonstrated a moderate positive correlation with cancer stage (&#x03C1;=0.512; P=0.0015), indicating a significant correlation between elevated estrogen levels and disease progression. This finding suggests that estrogen levels may serve as a potential indicator of tumor advancement in female patients with bladder cancer.</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>Age represents a key demographic parameter consistently included in cancer epidemiological studies; it is recognized as one of the influential and thoroughly investigated determinants of cancer risk. Since the occurrence of most malignancies notably rises with advancing years, cancer is widely considered an age-related condition (<xref rid="b16-WASJ-8-3-00462" ref-type="bibr">16</xref>,<xref rid="b17-WASJ-8-3-00462" ref-type="bibr">17</xref>). Beyond its role as a demographic factor, advancing age is biologically linked to changes that may contribute to bladder cancer development. For example, aging is associated with cumulative genetic and epigenetic alterations, impaired DNA repair mechanisms and increased oxidative stress, all of which can promote carcinogenesis (<xref rid="b18-WASJ-8-3-00462" ref-type="bibr">18</xref>). Additionally, age-related hormonal alterations, particularly fluctuations in androgen and estrogen levels, can influence urothelial cell function and proliferation, thereby increasing vulnerability to bladder cancer (<xref rid="b19-WASJ-8-3-00462" ref-type="bibr">19</xref>). This age-hormone relationship provides important context for understanding the hormonal dysregulation observed in the present study.</p>
<p>Hormonal signals serve a critical role in regulating the growth, differentiation and survival of cells throughout the body. These same biological signals can also contribute to cancer when they become dysregulated. Hormones act through highly specific communication systems, including endocrine, paracrine and autocrine signaling, that influence gene expression and cellular behavior (<xref rid="b20-WASJ-8-3-00462" ref-type="bibr">20</xref>). The findings of the present study demonstrated a clear hormonal imbalance in women with bladder cancer, characterized by significantly elevated levels of both estrogen and testosterone in serum compared with the control group. Increased testosterone levels in women with bladder cancer suggests dysregulation of androgen metabolism or adrenal androgen overproduction. Testosterone and its more potent derivative, DHT, signal through the AR, which is also expressed in bladder tissues (<xref rid="b21-WASJ-8-3-00462" ref-type="bibr">21</xref>). Additionally, the increased circulating estrogen levels in female patients with bladder cancer may result from altered systemic hormone metabolism or local estrogen synthesis within the tumor microenvironment, facilitated by elevated aromatase enzyme activity that converts androgens to estrogens (<xref rid="b22-WASJ-8-3-00462" ref-type="bibr">22</xref>).</p>
<p>Correspondingly, the results of the present study demonstrated a significant increase in AR gene expression in bladder cancer tissues compared with benign control tissues. This elevation was consistently observed across the analyzed samples, indicating a clear difference in expression levels between malignant and non-malignant bladder tissues. The alignment between elevated testosterone levels and increased AR expression suggests that enhanced androgenic signaling may contribute to tumor development or progression (<xref rid="b21-WASJ-8-3-00462" ref-type="bibr">21</xref>). Notably, even in women, androgen/AR signaling can influence bladder cancer growth, indicating that androgens are not exclusively male hormones in the context of cancer pathogenesis (<xref rid="b11-WASJ-8-3-00462" ref-type="bibr">11</xref>). These findings align with numerous investigations examining AR expression variations in human bladder tumors and the association with different disease characteristics (<xref rid="b23-WASJ-8-3-00462" ref-type="bibr">23</xref>,<xref rid="b24-WASJ-8-3-00462" ref-type="bibr">24</xref>). Early research has shown that bladder cancer tissue has higher levels of AR than control tissue, indicating that AR is upregulated in malignancy (<xref rid="b25-WASJ-8-3-00462" ref-type="bibr">25</xref>). Furthermore, AR expression has been strongly associated with tumor stage and grade, with patients harboring AR-positive tumors demonstrating a worse prognosis than those with AR-negative tumors (<xref rid="b26-WASJ-8-3-00462" ref-type="bibr">26</xref>). Analysis of both non-metastatic and metastatic malignancies has revealed that a higher percentage of metastatic lesions express AR compared with primary tumors, supporting the concept that AR-positivity is associated with metastatic potential (<xref rid="b27-WASJ-8-3-00462" ref-type="bibr">27</xref>). However, other research has shown no statistically significant difference in AR expression between male and female patients, with AR expressed at comparable levels in both sexes (<xref rid="b28-WASJ-8-3-00462" ref-type="bibr">28</xref>).</p>
<p>The interplay between elevated androgen levels and AR expression contributes to bladder cancer proliferation and differentiation through multiple interconnected mechanisms that promote cellular proliferation and malignant transformation (<xref rid="b29-WASJ-8-3-00462" ref-type="bibr">29</xref>). Upon androgen binding, the AR complex translocates to the nucleus and functions as a transcription factor, upregulating cell cycle regulators, including cyclins and cyclin-dependent kinases, that drive G<sub>1</sub>/S phase transition while simultaneously suppressing apoptotic pathways through increased Bcl-2 expression and decreased pro-apoptotic factor activity (<xref rid="b30-WASJ-8-3-00462" ref-type="bibr">30</xref>). AR signaling also exhibits cross-talks with critical growth factor pathways, enhancing EGFR activity and activating the PI3K/AKT/mTOR cascade, both of which are essential for cell survival and proliferation, while stimulating VEGF expression to promote tumor angiogenesis (<xref rid="b31-WASJ-8-3-00462" ref-type="bibr">31</xref>). Given these findings, previous hypotheses have emphasized androgenic activity, rather than AR expression alone, as a key driver of bladder cancer biology, since systemic testosterone levels strongly influence AR activation (<xref rid="b32-WASJ-8-3-00462" ref-type="bibr">32</xref>).</p>
<p>In contrast to the upregulated androgen pathway, the findings of the present study demonstrated elevated estrogen levels accompanied by downregulation of ESR1 expression in bladder cancer tissue, indicating a disruption in estrogen/ER signaling. This disruption in the estrogen/ER axis has notable implications for bladder cancer pathogenesis, as estrogen signaling has been demonstrated to regulate critical cellular mechanisms including cell cycle control, apoptosis and differentiation, thereby exerting protective effects against tumorigenesis in various tissues (<xref rid="b33-WASJ-8-3-00462" ref-type="bibr">33</xref>). The protective role of estrogen in bladder carcinogenesis is supported by epidemiological evidence showing that postmenopausal women have a higher risk of bladder cancer than premenopausal women (<xref rid="b34-WASJ-8-3-00462" ref-type="bibr">34</xref>). Furthermore, women who reach menopause at a younger age have a markedly increased risk of bladder cancer, supporting the concept that estrogens may inhibit bladder cancer incidence (<xref rid="b35-WASJ-8-3-00462" ref-type="bibr">35</xref>). Additional clinical studies have demonstrated that higher frequencies of estrogen exposure lead to lower bladder cancer incidence. For example, parous women who have experienced elevated E2 during pregnancy and those who used estrogen and progestin for hormonal therapy have a lower risk of bladder cancer formation, again suggesting that high estrogen exposure decreases bladder cancer risk (<xref rid="b36-WASJ-8-3-00462" ref-type="bibr">36</xref>). Molecularly, ESR1 expression has been found to be significantly downregulated in high-grade or muscle-invasive bladder tumors (<xref rid="b37-WASJ-8-3-00462" ref-type="bibr">37</xref>). Consistently, Kontos <italic>et al</italic> (<xref rid="b38-WASJ-8-3-00462" ref-type="bibr">38</xref>) reported a clear and significant downregulation of ESR1 expression in bladder cancer tissue, further highlighting the homogeneity in ESR1 expression profiles across different bladder cancer subtypes and stages.</p>
<p>Several mechanisms have been proposed to explain how altered ER expression and impaired ER signaling contribute to bladder cancer progression. Gucalp <italic>et al</italic> (<xref rid="b27-WASJ-8-3-00462" ref-type="bibr">27</xref>) proposed that the observed reduction in ER expression may result from epigenetic silencing through promoter hypermethylation of the ESR1 gene, a well-characterized phenomenon documented across various malignancies. A mechanistic study has suggested that ESR1 controls the expression of inositol polyphosphate-4-phosphatase type IIB to reduce AKT activity and consequently suppress bladder cancer cell proliferation (<xref rid="b39-WASJ-8-3-00462" ref-type="bibr">39</xref>). Beyond transcriptional regulation, ER signaling has been implicated in modulating non-coding RNA networks, including microRNAs (miRs), circular RNAs (circRNAs) and enhancer RNAs (eRNAs), all of which serve crucial roles in bladder cancer progression. ESR1 has been demonstrated to induce miR-4324 expression through direct promoter binding in bladder cancer cells, thereby suppressing cellular proliferation and metastatic potential (<xref rid="b40-WASJ-8-3-00462" ref-type="bibr">40</xref>). Furthermore, ESR1 downregulates circ_0023642 expression by modulating its host gene, UVRAG, which subsequently upregulates miR-490-5p and leads to decreased EGFR expression, ultimately inhibiting bladder cancer cell invasion (<xref rid="b41-WASJ-8-3-00462" ref-type="bibr">41</xref>). Conversely, knockdown experiments targeting estrogen-responsive eRNAs, specifically eGREB1 and P2RY2e, in bladder cancer cell lines resulted in notable inhibition of proliferation, migration and invasion, coupled with enhanced apoptosis, suggesting that these eRNAs may exert oncogenic functions (<xref rid="b42-WASJ-8-3-00462" ref-type="bibr">42</xref>). The simultaneous elevation of AR signaling and suppression of ER signaling observed in the present study suggests that a critical hormonal imbalance may drive bladder cancer progression in female patients by tipping cellular signaling towards growth and survival rather than differentiation or suppression.</p>
<p>The present study has certain limitations that should be considered. Specifically, only AR and ESR1 were evaluated, while other sex hormone receptors, including ESR2 and progesterone receptor, which may also have role in the pathogenesis of bladder cancer. Furthermore, receptor expression was assessed only at the mRNA level through gene expression analysis, therefore, the functional relevance of these findings needs to be further confirmed at the protein level in future studies.</p>
<p>In conclusion, the findings of the present study demonstrate a distinct pattern of hormonal dysregulation in female patients with bladder cancer, characterized by elevated serum levels of both testosterone and estrogen and significant changes in receptor expression. Despite an observed increase in circulating estrogen, ESR1 gene expression was downregulated in bladder cancer tissues, indicating disrupted estrogen-mediated protective signaling. Conversely, AR expression was significantly upregulated, which together with elevated testosterone levels, suggests enhanced pro-oncogenic androgenic activity within the tumor microenvironment. Collectively, these findings revealed a critical hormonal imbalance favoring pro-oncogenic androgen signaling while diminishing estrogen-related protection, which may represent a notable factor in bladder cancer pathogenesis and progression in women. These results highlighted the potential importance of the AR/ER axis as a therapeutic target and suggest that modulating AR activity or restoring ER function may offer novel treatment strategies for female patients with bladder cancer.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Material</title>
<supplementary-material id="SD1-WASJ-8-3-00462" content-type="local-data">
<caption>
<title>Reverse transcription-quantitative PCR amplification plot showing the fluorescence intensity of androgen receptor gene expression across different cycles in bladder tissue samples from controls and patients with bladder cancer.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
<supplementary-material id="SD2-WASJ-8-3-00462" content-type="local-data">
<caption>
<title>Reverse transcription-quantitative PCR amplification plot showing the fluorescence intensity of estrogen receptor 1 gene expression across different cycles in bladder tissue samples from controls and patients with bladder cancer.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
<supplementary-material id="SD3-WASJ-8-3-00462" content-type="local-data">
<caption>
<title>Reverse transcription-quantitative PCR amplification plot showing the fluorescence intensity of housekeeping gene GAPDH expression across different cycles in bladder tissue samples from controls and patients with bladder cancer.</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</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>NML and IEA contributed to design and planning of study. FGL collected and analyzed data and wrote the manuscript. NML reviewed and edited the manuscript. IEA participated in data processing. NML and IEA supervised the study. FGL and NML confirm the authenticity of all the raw data. All authors read and approved the final version of the manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Ethical approval was obtained from the relevant institutional review board of Mustansiriyah University (approval no. BCSMU/1024/0062Z). All data were prospectively obtained from medical records in compliance with the principles to 1964 Helsinki Declaration and its later amendments. Written informed consent was obtained from all participants included in the present study.</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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<floats-group>
<fig id="f1-WASJ-8-3-00462" position="float">
<label>Figure 1</label>
<caption><p>Flowchart illustrating the distribution and number of participants, as well as the type and number of blood and tissue samples collected in the present study. FFPE, formalin-fixed paraffin-embedded.</p></caption>
<graphic xlink:href="wasj-08-03-00462-g00.tif"/>
</fig>
<fig id="f2-WASJ-8-3-00462" position="float">
<label>Figure 2</label>
<caption><p>Age distribution of the patient and control groups, categorized into intervals beginning with 30-39 years and extending to &#x003E;70 years.</p></caption>
<graphic xlink:href="wasj-08-03-00462-g01.tif"/>
</fig>
<table-wrap id="tI-WASJ-8-3-00462" position="float">
<label>Table I</label>
<caption><p>Clinicopathological characteristics of patients (n=50) with bladder cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">No. of patients</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Median age, years (range)</td>
<td align="center" valign="middle">67 (37-80)</td>
</tr>
<tr>
<td align="left" valign="middle">Sex</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Female</td>
<td align="center" valign="middle">50(100)</td>
</tr>
<tr>
<td align="left" valign="middle">T stage</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Ta</td>
<td align="center" valign="middle">2(4)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;T1</td>
<td align="center" valign="middle">19(38)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;T2</td>
<td align="center" valign="middle">16(32)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;T3</td>
<td align="center" valign="middle">13(26)</td>
</tr>
<tr>
<td align="left" valign="middle">N stage</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;N0</td>
<td align="center" valign="middle">50(100)</td>
</tr>
<tr>
<td align="left" valign="middle">M stage</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;M0</td>
<td align="center" valign="middle">50(100)</td>
</tr>
<tr>
<td align="left" valign="middle">Tumor grade</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;G1</td>
<td align="center" valign="middle">11(22)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;G2</td>
<td align="center" valign="middle">15(30)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;G3</td>
<td align="center" valign="middle">24(48)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Data presented as n (&#x0025;). T, tumor; N, lymph node; M, metastasis; G, grade.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-WASJ-8-3-00462" position="float">
<label>Table II</label>
<caption><p>Sequences and specifications of the primers used in the present study.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Primer</th>
<th align="center" valign="middle">Sequence (5&#x0027;&#x2192;3&#x0027;)</th>
<th align="center" valign="middle">Primer size, bp</th>
<th align="center" valign="middle">Ta, &#x02DA;C</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">AR</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">58</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Forward</td>
<td align="left" valign="middle">GAGATGATACCCTCCCAGCA</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Reverse</td>
<td align="left" valign="middle">CATTTGCAGGGTTTCTGGTT</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">ESR1</td>
<td align="left" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">58</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Forward</td>
<td align="left" valign="middle">AGCACCCTGAAGTCTCTGGA</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Reverse</td>
<td align="left" valign="middle">GATGTGGGAGAGGATGAGGA</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">GAPDH</td>
<td align="left" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">60</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Forward</td>
<td align="left" valign="middle">GGCCTCCAAGGAGTAAGACC</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Reverse</td>
<td align="left" valign="middle">AGGGGTCTACATGGCAACTG</td>
<td align="center" valign="middle">20</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>AR, androgen receptor; ESR1, estrogen receptor 1; Ta, annealing temperature.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-WASJ-8-3-00462" position="float">
<label>Table III</label>
<caption><p>Normal distribution assessment of serum estrogen and testosterone concentrations in patients (n=50) with bladder cancer and healthy controls (n=50).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">&#x00A0;</th>
<th align="center" valign="middle" colspan="3">Kolmogorov-Smirnov<sup><xref rid="tfna-WASJ-8-3-00462" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle" colspan="3">Shapiro-Wilk</th>
</tr>
<tr>
<th align="left" valign="middle">Group</th>
<th align="center" valign="middle">Statistic</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">Statistic</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Testosterone</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>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Control</td>
<td align="center" valign="middle">0.217</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.199</td>
<td align="center" valign="middle">0.883</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.140</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Patient</td>
<td align="center" valign="middle">0.202</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.200</td>
<td align="center" valign="middle">0.899</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.181</td>
</tr>
<tr>
<td align="left" valign="middle">Estrogen</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>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Control</td>
<td align="center" valign="middle">0.134</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.200</td>
<td align="center" valign="middle">0.978</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.955</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Patient</td>
<td align="center" valign="middle">0.302</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.006</td>
<td align="center" valign="middle">0.723</td>
<td align="center" valign="middle">50</td>
<td align="center" valign="middle">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna-WASJ-8-3-00462"><p><sup>a</sup>Non-parametric test. df, degrees of freedom.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-WASJ-8-3-00462" position="float">
<label>Table IV</label>
<caption><p>Normal distribution assessment of ESR1 and AR gene expression in bladder tissues from the patient (n=22) and control groups (n=22).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">&#x00A0;</th>
<th align="center" valign="middle" colspan="3">Kolmogorov-Smirnov<sup><xref rid="tfn1-a-WASJ-8-3-00462" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle" colspan="3">Shapiro-Wilk</th>
</tr>
<tr>
<th align="left" valign="middle">Group</th>
<th align="center" valign="middle">Statistic</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">Statistic</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">ESR1</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>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Control</td>
<td align="center" valign="middle">0.220</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.186</td>
<td align="center" valign="middle">0.841</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.045</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Patient</td>
<td align="center" valign="middle">0.290</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.000</td>
<td align="center" valign="middle">0.709</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.003</td>
</tr>
<tr>
<td align="left" valign="middle">AR</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>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Control</td>
<td align="center" valign="middle">0.192</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.200</td>
<td align="center" valign="middle">0.940</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.557</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Patient</td>
<td align="center" valign="middle">0.237</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.085</td>
<td align="center" valign="middle">0.837</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">0.029</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-a-WASJ-8-3-00462"><p><sup>a</sup>Non-parametric test. ESR1, estrogen receptor 1; AR, androgen receptor; df, degrees of freedom.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-WASJ-8-3-00462" position="float">
<label>Table V</label>
<caption><p>Statistical analysis of the serum testosterone and estrogen levels in the patient (n=50) and control (n=50) groups using the Mann-Whitney U test.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Statisitical term</th>
<th align="center" valign="middle">Testosterone</th>
<th align="center" valign="middle">Estrogen</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Mean rank</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;Control</td>
<td align="center" valign="middle">26.60</td>
<td align="center" valign="middle">35.48</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Patient</td>
<td align="center" valign="middle">54.40</td>
<td align="center" valign="middle">55.52</td>
</tr>
<tr>
<td align="left" valign="middle">Mann-Whitney U</td>
<td align="center" valign="middle">244.000</td>
<td align="center" valign="middle">561.500</td>
</tr>
<tr>
<td align="left" valign="middle">Wilcoxon W</td>
<td align="center" valign="middle">1,064.000</td>
<td align="center" valign="middle">1,596.500</td>
</tr>
<tr>
<td align="left" valign="middle">Z-value</td>
<td align="center" valign="middle">-5.350</td>
<td align="center" valign="middle">-3.640</td>
</tr>
<tr>
<td align="left" valign="middle">P-value</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Z, standardized test statistic.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVI-WASJ-8-3-00462" position="float">
<label>Table VI</label>
<caption><p>Statistical comparison of the androgen and estrogen receptor gene expression levels in the bladder tissues from the patient (n=22) and control (n=22) groups using the Mann-Whitney U test.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Statistical term</th>
<th align="center" valign="middle">Androgen receptor</th>
<th align="center" valign="middle">Estrogen receptor-1</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Mean rank</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;Control</td>
<td align="center" valign="middle">14.30</td>
<td align="center" valign="middle">25.80</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Patient</td>
<td align="center" valign="middle">28.05</td>
<td align="center" valign="middle">17.59</td>
</tr>
<tr>
<td align="left" valign="middle">Mann-Whitney U</td>
<td align="center" valign="middle">76.000</td>
<td align="center" valign="middle">134.000</td>
</tr>
<tr>
<td align="left" valign="middle">Wilcoxon W</td>
<td align="center" valign="middle">286.000</td>
<td align="center" valign="middle">387.000</td>
</tr>
<tr>
<td align="left" valign="middle">Z-value</td>
<td align="center" valign="middle">-3.629</td>
<td align="center" valign="middle">-2.169</td>
</tr>
<tr>
<td align="left" valign="middle">P-value</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">0.030</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Z, standardized test statistic.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVII-WASJ-8-3-00462" position="float">
<label>Table VII</label>
<caption><p>Correlation of the serum testosterone and estrogen levels with bladder cancer stage using Spearman&#x0027;s rank correlation coefficient.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Statistical term</th>
<th align="center" valign="middle">Correlation with stage of bladder cancer</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Testosterone</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Spearman&#x0027;s correlation</td>
<td align="center" valign="middle">0.263</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value (two-tailed)</td>
<td align="center" valign="middle">0.05</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;No. of samples</td>
<td align="center" valign="middle">50</td>
</tr>
<tr>
<td align="left" valign="middle">Estrogen</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;Spearman&#x0027;s correlation</td>
<td align="center" valign="middle">0.512</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;P-value (two-tailed)</td>
<td align="center" valign="middle">0.0015</td>
</tr>
<tr>
<td align="left" valign="middle">&#x00A0;&#x00A0;&#x00A0;&#x00A0;&#x00A0;No. of samples</td>
<td align="center" valign="middle">50</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</article>
