Clinical prognostic value of imaging and immuno-hormonal markers in uterine leiomyoma
Original Article

Clinical prognostic value of imaging and immuno-hormonal markers in uterine leiomyoma

Nigora Khahramonovna Dustova1#, Aliya Meirmanova2#, Gulzhakhan Omarova2, Ainura Veliyeva3, Zhanara Begniyazova2, Zhanar Buzumova2, Elmira Makhmutova2, Ainura Yuldasheva2, Gulnara Djumaniyazovna Matrizaeva4, Nigora Bakhodirovna Khaydarova1,5, Feruza Shopulotovna Oripova1, Dilnoza Bakhodurovna Khafizova1, Elnora Elbekovna Karshieva6, Nodira Khakimovna Ruzieva6, Gulchekhra Akmalovna Ikhtiyarova1

1Department of Obstetrics and Gynecology, Bukhara State Medical Institute, Bukhara, Republic of Uzbekistan; 2Department of Obstetric Gynecology and Clinical Genetics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan; 3Department of Obstetrics and Gynecology, Kazakh National University named after Al-Farabi, Almaty, Republic of Kazakhstan; 4Department of Obstetrics and Gynecology Tashkent Medical Academy Urganch Branch, Urgench, Republic of Uzbekistan; 5Center of Research and Innovation, Asia International University, Bukhara, Uzbekistan; 6Tashkent Medical University, Tashkent, Republic of Uzbekistan

Contributions: (I) Conception and design: NK Dustova, A Meirmanova; (II) Administrative support: GA Ikhtiyarova; (III) Provision of study materials or patients: FS Oripova, DB Khafizova, A Yuldasheva, GD Matrizaeva; (IV) Collection and assembly of data: A Veliyeva, Z Begniyazova, Z Buzumova, NB Khaydarova, NK Ruzieva; (V) Data analysis and interpretation: E Makhmutova, G Omarova, A Veliyeva, EE Karshieva; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Gulchekhra Akmalovna Ikhtiyarova, MD, PhD, Professor. Department of Obstetrics and Gynecology, Bukhara State Medical Institute, 23 Gijduvan Street, Bukhara 200118, Republic of Uzbekistan. Email: ixtiyarova7272@mail.ru.

Background: Uterine leiomyoma is a prevalent benign tumor arising from the smooth muscle cells of the uterine wall, profoundly affecting women’s reproductive health and overall quality of life. Despite extensive studies on hormonal and molecular genetic mechanisms, its pathogenesis remains incompletely understood. Increasing evidence suggests that cytokines, growth factors, and immune-hormonal interactions may play a key role in tumor progression and recurrence. This study aimed to evaluate the prognostic significance of imaging, immunological, and hormonal markers in the assessment of antitumor immune response and clinical outcomes in women of reproductive age with uterine leiomyoma.

Methods: A total of 61 women diagnosed with uterine leiomyoma were examined at the Gynecology Department of Bukhara Outpatient Polyclinic (OPC). Clinical, biochemical, hormonal, and immunological parameters were analyzed using standard laboratory assays and magnetic resonance imaging (MRI). Statistical analysis included comparative, correlational, and regression methods to identify prognostic indicators.

Results: Hereditary predisposition, history of medical abortion, and excess body weight were identified as major risk factors. Elevated serum biomarker levels of vascular endothelial growth factor (VEGF) (>95.1 pg/mL), estradiol (>40.5 pg/mL), and fibroblast growth factor-1 (FGF-1) (>81.4 pg/mL) significantly increased the likelihood of leiomyoma development (P<0.05). Enhancing antiproliferative activity of transforming growth factor beta-2 (TGF-β2) and reducing progesterone synthesis reflected impaired growth-factor-mediated regulation and potential neoplastic transformation. Serum levels of cancer antigen 125 (CA-125) and cancer antigen 19-9 (CA-19-9) were significantly elevated in women with uterine leiomyoma compared with controls (P<0.0001). MRI findings demonstrated heterogeneous leiomyoma morphology with variable localization, vascularization, and nodular architecture. Macroscopic examination revealed well-circumscribed firm nodules with a characteristic whorled appearance. Histological analysis confirmed benign smooth muscle proliferation with interlacing fascicles, minimal atypia, connective tissue stroma, and variable fibrotic or vascular changes.

Conclusions: Uterine leiomyoma is characterized by elevated tumor markers, hormonal dysregulation, inflammatory and angiogenic activation, and distinct radiological and morphological features. Integrated evaluation of biochemical, imaging, and histopathological parameters may improve diagnostic assessment, characterization of tumor heterogeneity, and individualized management strategies in women with uterine leiomyoma. Integration of imaging findings with immuno-hormonal biomarkers may improve early detection, risk stratification, and individualized management of uterine leiomyoma.

Keywords: Leiomyoma; biomarkers; imaging prognosis


Submitted Oct 24, 2025. Accepted for publication Jun 22, 2026. Published online Jul 29, 2026.

doi: 10.21037/qims-2025-aw-2233


Introduction

Uterine leiomyoma (UL), a prevalent benign neoplasm of the female reproductive system, affects a substantial proportion of women of reproductive age. Epidemiological and geographical data suggest an incidence ranging between 25% and 70%, depending on population and diagnostic criteria (1). The true prevalence remains difficult to determine due to the frequent asymptomatic nature of the disease. Despite their benign character, ULs are a major cause of reproductive dysfunction, including infertility, recurrent miscarriage, menorrhagia, and chronic pelvic pain (2,3). Histologically, UL represents a monoclonal proliferation of smooth muscle cells originating from the myometrium and surrounded by a pseudocapsule (4,5). The growth of these tumors is hormone-dependent, primarily regulated by estrogen and progesterone (6). Biochemical markers are well noted for obstetrics and gynecologic pathologies like gestational, miscarriage, and hypertension (7-9). Clinically, symptoms vary from asymptomatic presentation to severe uterine bleeding, anemia, dysuria, dyspareunia, and subfertility. Approximately 25% of affected women require active medical or surgical management due to symptomatic disease. In contemporary gynecology, preserving and restoring reproductive potential is a leading clinical priority. Uterine fibroids represent the second most common gynecological disorder after inflammatory diseases of the genital tract, accounting for up to 40% of gynecological cases with no recent decline in incidence. Alarmingly, the prevalence of leiomyomas has been increasing among younger women, reflecting both environmental and endocrine factors (10). Global estimates indicate that 25–35% of women of reproductive age and up to 80% of women over 30 years develop fibroids during their lifetime (11). Recent studies have underscored the significance of immune-endocrine interactions in the development and progression of ULs, ovarian chronic process (12-14). Hysterectomy for UL remains one of the most common gynecological procedures worldwide, second only to cesarean section in many countries, including Canada. The immune system plays a pivotal role in maintaining antitumor surveillance, and dysregulation of both innate and adaptive immunity contributes to fibroid growth interleukin-8 (IL-8), which are implicated in leukocyte recruitment and chronic inflammation within the myometrium (15). This imbalance is characterized by altered Th1/Th2 cytokine ratios, increased monocyte and neutrophil activity, and modified natural killer (NK) cell function. NK cells, key effectors of antitumor immunity, exhibit dual behavior in leiomyoma tissue (16). They secrete interferon-γ (IFN-γ), a cytotoxic cytokine promoting apoptosis, as well as anti-inflammatory mediators such as interleukin-10 (IL-10) and transforming growth factor-β (TGF-β), which can suppress immune activation. Studies demonstrate increased numbers of CD56⁺ NK cells and subpopulations expressing CD158a⁺ and CD158i⁺ receptors in leiomyoma tissue (17). Interestingly, smaller tumors tend to show elevated levels of CD56⁺IFN-γ⁺ lymphocytes, while larger masses exhibit enhanced expression of TGF-β1-secreting NK cells, suggesting an immunosuppressive shift during tumor progression (18,19). Additionally, monocyte chemoattractant protein-1 (MCP-1), Ki67, and cytokine levels (20). Elevated concentrations of α2-macroglobulin (α2-MG) and soluble p55-TNF receptor reflect systemic immune modulation associated with fibroid growth and vascular remodeling. These immune mediators may serve as potential prognostic markers, linking inflammation, angiogenesis, and hormone-dependent proliferation (21). The clinical management of UL continues to pose a major therapeutic challenge. Hysterectomy remains the standard intervention for extensive or symptomatic cases; however, it irreversibly compromises reproductive potential and may negatively affect psychological well-being (22,23). Consequently, there is a growing emphasis on organ-preserving and fertility-sparing treatments. Minimally invasive modalities such as uterine artery embolization (UAE) and focused ultrasound surgery (FUS) have emerged as effective alternatives, offering reduced morbidity and preservation of uterine integrity (24). In parallel, selective estrogen receptor modulators (SERMs) and progesterone receptor modulators (PRMs) have demonstrated efficacy in decreasing fibroid volume and symptom severity. Advanced imaging techniques, including magnetic resonance imaging (MRI)-based perfusion and diffusion mapping, allow non-invasive assessment of tumor vascularity and may complement immuno-hormonal profiling in predicting disease progression (25). Despite extensive research, the prognostic integration of imaging biomarkers with immunological and hormonal profiles remains limited in chronic autoimmune, oncologic, and precancerous process (26). Understanding the interplay between vascular endothelial growth factor (VEGF), fibroblast growth factor-1 (FGF-1), TGF-β, and various immune cell subsets could substantially enhance diagnostic precision and inform individualized therapy. Therefore, the present study aims to assess the clinical and prognostic value of imaging and immuno-hormonal markers in UL among women of reproductive age, emphasizing their role in early detection, disease stratification, and treatment optimization. We present this article in accordance with the STROBE reporting checklist (available at https://qims.amegroups.com/article/view/10.21037/qims-2025-aw-2233/rc).


Methods

Study population

A total of 61 women aged 20–49 years with clinically and radiologically confirmed UL were included in the study. The study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments, and was approved by the Institutional Review Board of Bukhara State Medical Institute (No. 571, dated April 22, 2024). Informed consent was obtained from all subjects involved in the study. The majority of patients were 40–49 years old (approximately 75%). Most participants resided in urban areas of the Bukhara region and identified as Uzbek (88.3%). Obstetric history revealed a higher prevalence of leiomyoma in multiparous women (≥4 pregnancies, 45.8%), with spontaneous miscarriage (14.2%), comorbid gynecological conditions included cervical erosion (28.8%), ectropion (47.5%), prior cervical electrocoagulation (23.7%), and chronic pelvic inflammatory disease (62.5%). Endometrial hyperplasia occurred in 17.5%, acyclic uterine bleeding requiring curettage in 39.2%, and benign ovarian cysts in 9.2%.

Morphological examination

Morphological studies were performed at the Bukhara Regional Pathology Center. Among the specimens examined, 49.2% had UL alone, 22.5% leiomyoma with adenomyosis, and 28.3% leiomyoma with proliferative processes. Intramural (46.7%) and subserous-intramural (38.4%) locations predominated. Multiple nodules were identified in 64.2% of patients, while 35.8% had a solitary large node. Histological classification distinguished simple and proliferating leiomyomas.

Immunological and biochemical analyses

Peripheral blood samples were analyzed at the Institute of Immunology and Human Genomics, Tashkent. Concentrations of cytokines and growth factors (IL-6, TNF-α, TGF-β2, IGF-I, FGF, VEGF) were determined using ELISA (Vector-Best, Novosibirsk).

MRI imaging protocol

Pelvic MRI was performed using a 1.5-T Siemens Magnetom Avanto system (Siemens Healthcare, Erlangen, Germany) with a phased-array body coil. Scans were obtained during the follicular phase (days 5–10) to minimize hormonal variability. Sequences: axial and sagittal T1-weighted spin-echo [repetition time/echo time (TR/TE) =500/12 ms]. Axial, sagittal, and coronal T2-weighted fast spin-echo (TR/TE =4,000/90 ms). Fat-suppressed T2-weighted for tissue contrast. Diffusion-weighted imaging (DWI) (b =0, 400, 800 s/mm²) for cellular density and apparent diffusion coefficient (ADC) mapping. Dynamic contrast-enhanced (DCE)-MRI after IV gadobutrol 0.1 mmol/kg to assess vascularity. Image analysis: two experienced radiologists (>10 years) independently evaluated all scans, blinded to laboratory data. Parameters included number, size, and location of leiomyomas; T2-signal intensity (hypo-/iso-/hyperintense); ADC values; and contrast-enhancement pattern (homogeneous, heterogeneous, or peripheral).

Statistical analysis

Data were processed using Microsoft Excel 2012. Descriptive statistics included mean (M), standard deviation (SD), and frequency (%). Group comparisons were performed using Student’s t-test, χ² test, and Z test. Correlation analysis applied Pearson’s (r) and Spearman’s (Rs) coefficients, with interpretation based on Chaddock’s scale. A P value <0.05 was considered statistically significant.


Results

Study group

A total of 61 women diagnosed with UL, aged 20–49 years, were included in the clinical study and divided into a control group (n=30) and an experimental group (n=31). The majority of patients were in the 40–49-year age group, representing the largest proportion of the study population (41 patients, 67.2%) (Figure 1A). Analysis of the place of residence showed that cases of UL were more frequently observed among women living in urban areas of the Bukhara region compared with those residing in rural areas (Figure 1A). Patients with UL most commonly presented with the following complaints (Figure 1B). Menstrual cycle disorders were observed in 36 patients (59.0%), hyperpolymenorrhea in 31 patients (50.8%), pelvic pain and algomenorrhea in 22 patients (36.1%), and dyspareunia in 17 patients (27.9%). Infertility was diagnosed in 14 patients (23.0%) of the study population. Among infertile women, primary infertility was identified in 7 patients (50.0%), whereas secondary infertility was observed in 7 patients (50.0%) (Figure 1B). Analysis of myoma node localization showed that intramural and subserous-intramural nodes were the most common. According to the International Federation of Gynecology and Obstetrics (FIGO) classification, types IV, V, and VI were the predominant forms (Figure 1C).

Figure 1 Comparative clinical and morphological characteristics of patients with uterine leiomyoma in control (n=30) and experimental (n=31) groups. (A) Age distribution and place of residence of patients. (B) Frequency of main clinical manifestations, including hyperpolymenorrhea, pelvic pain with algomenorrhea, menstrual cycle disorders, dyspareunia, and infertility (primary, secondary, total). (C) Distribution of leiomyoma types according to FIGO classification (types 0–VIII) in both study groups. (D) Parity structure of examined patients depending on the number of previous pregnancies. Error bars represent SEM; statistical differences were considered significant at P<0.05. SEM, standard error of the mean.

The condition was most frequently observed in women with four or more pregnancies, followed by those with two to three deliveries (Figure 1D). Multiple leiomyoma nodes were observed more frequently than solitary nodes. Most tumors were located in the middle third of the uterine body, followed by the upper and lower thirds. Regarding uterine wall localization, nodes were most detected in the anterior wall, followed by the posterior and lateral walls.

Serum biomarkers and hormonal parameters between study groups

As shown in Figure 2A, the tumor markers CA-125 and CA-19-9 were significantly elevated in the experimental group compared with the control group. CA-125 levels increased from approximately 3 U/mL in the control group to about 20 U/mL in the experimental group, while CA-19-9 concentrations increased from roughly 3 U/mL to approximately 12 U/mL (P<0.0001). Hormonal analysis (Figure 2B) demonstrated significant differences between groups. Progesterone levels were higher in the experimental group than in controls, while estradiol concentrations were markedly elevated in the experimental group, reaching approximately 60 pg/mL, compared with about 37 pg/mL in the control group (P<0.001–0.0001). Evaluation of inflammatory and angiogenic cytokines (Figure 2C) revealed significantly increased levels of IL-6, TNF-α, TGF-β2, FGF, IGF, and VEGF in the experimental group compared with the control group (P<0.0001). The most pronounced elevations were observed for TGF-β2 and VEGF, indicating enhanced inflammatory activity and angiogenesis associated with UL. Findings demonstrate that UL is associated with increased tumor markers, hormonal imbalance, and elevated inflammatory and angiogenic cytokines.

Figure 2 Serum concentrations of tumor markers, sex hormones, and cytokine-growth factors in women with uterine leiomyoma (Exp gr) and healthy controls (Cont gr). (A) Tumor markers CA-125 and CA-19-9 were significantly elevated in the experimental group compared with controls. (B) Sex hormones progesterone and estradiol were markedly increased in women with leiomyoma, confirming a hyperestrogenic-hyperprogestogenic background. (C) Cytokine and growth factor analysis showed pronounced rises in IL-6, TNF-α, TGF-β2, FGF, and VEGF, accompanied by a compensatory decline in IGF, indicating activation of inflammatory and angiogenic pathways in tumor progression. ***, P<0.001; ****, P<0.0001. CA-125, cancer antigen 125; CA-19-9, cancer antigen 19-9; Cont gr, control group; Exp gr, experimental group; FGF, fibroblast growth factor; IGF, insulin-like growth factor; IL-6, interleukin-6; TGF-β2, transforming growth factor beta-2; TNF-α, tumor necrosis factor alpha; VEGF, vascular endothelial growth factor.

Distribution of MRI across groups

Radiological findings are illustrated in Figure 3. MRI of the pelvis demonstrates characteristic structural features of ULs in women of reproductive age. The images illustrate variability in localization, vascularization, and internal architecture of the myomatous nodes. Leiomyomas appear as well-defined masses within the uterine wall with heterogeneous signal intensity reflecting differences in tissue composition, including smooth muscle proliferation and connective tissue elements. The MRI scans also demonstrate differences in nodular size, intramural or subserosal localization, and vascular supply, highlighting the heterogeneity of leiomyoma morphology. These imaging findings were used to assess the number, localization, and structural characteristics of the myomatous nodes prior to surgical management.

Figure 3 MRI findings in women with uterine leiomyoma demonstrate variations in localization, vascularity, and structural composition of the myomatous nodes. (A) Intramural and subserosal leiomyomas of the anterior uterine wall showing well-defined, hypointense lesions on T1-weighted and hyperintense signals on T2-weighted images with moderate contrast enhancement—indicative of viable vascularized tissue. (B) Submucosal leiomyomas with high T2 signal intensity and early post-contrast enhancement consistent with hyperperfusion and active cellular proliferation. (C) Multiple leiomyomatous nodes with mixed signal intensity on T2-weighted images and heterogeneous enhancement, reflecting degenerative and fibrotic transformation zones. (D) Leiomyomas with cystic and necrotic changes presenting as heterogeneous hyperintense regions on T2-weighted sequences with peripheral enhancement, indicating secondary degeneration and reduced perfusion. MRI, magnetic resonance imaging.

Macroscopic and microscopic characteristics

Figure 4 shows the morphological parameters of UL in women of reproductive age. Representative macroscopic and histological features of UL obtained from surgical specimens are presented. Macroscopically, the excised myomatous nodes appear as well-circumscribed, firm, round formations with a whorled cut surface, typical of benign smooth muscle tumors of the uterus. Microscopic examination demonstrates interlacing bundles of smooth muscle cells with elongated nuclei and minimal cellular atypia, surrounded by variable amounts of connective tissue stroma. In some cases, structural variations such as fibrotic changes, hyalinization, or vascular alterations are observed, reflecting differences in tumor development and growth patterns. These findings confirm the benign smooth muscle origin of the myomatous nodes and correspond with the imaging characteristics observed on MRI.

Figure 4 Macroscopic and microscopic characteristics of uterine leiomyoma in women of reproductive age. (A) Macroscopic view: excised leiomyoma nodules showing spherical morphology with smooth external surfaces and well-defined fibrous capsules. On section, the tumors display a whitish, whorled appearance with alternating dense and edematous areas, characteristic of smooth muscle proliferation and fibrosis. (B) Histological section of leiomyoma (H&E, ×100–200): compact bundles of spindle-shaped smooth muscle cells arranged in intersecting fascicles with areas of focal hyalinosis and collagenization. The nuclei are elongated and uniform, without significant atypia or mitotic figures—confirming benign nature. (C) Myometrial hypertrophy and adenomyosis features (H&E, ×200): infiltration of endometrial glands and stroma into the myometrium, with associated fibro-muscular hyperplasia and vascular congestion, indicating secondary reactive changes surrounding the myomatous node. (D) Leiomyoma with degenerative changes (H&E, ×200–400): irregular arrangement of muscle bundles with hyaline and cystic degeneration, edematous stroma, and focal necrotic foci, reflecting progressive vascular insufficiency and remodeling. H&E, hematoxylin and eosin.

Discussion

This study provides a comprehensive analysis of the clinical, hormonal, angiogenic, and morphological features of UL in women of reproductive age, integrating data from epidemiologic, imaging, biochemical, and histopathological perspectives. The results confirm that UL represents a multifactorial disease driven by a hormonal-angiogenic-inflammatory triad, modulated by metabolic and reproductive risk factors (9,26). Clinical and epidemiological features as shown in Figure 1A, the majority of affected women were aged 40–49 years, reflecting the typical reproductive-age vulnerability (27). Hyperpolymenorrhea, pelvic pain with algomenorrhea, menstrual irregularities, dyspareunia, and infertility were the most frequent manifestations Figure 1B (28). According to the FIGO classification, the majority of women were categorized as type IV, representing the dominant anatomical variant of UL (Figure 1C) (29). The highest proportion of pregnancies was observed in women with parity ≥4 (Figure 1D) (30). A predominance of multiparity and a history of two or more spontaneous or induced abortions were observed among patients, suggesting that reproductive trauma and repeated endometrial remodeling may contribute to myometrial transformation and fibroid development. Table 1 further demonstrates a predominance of organ-preserving surgical approaches in the experimental group, reflecting a shift toward fertility-sparing strategies. Comorbidities were frequent (Table 2), led by post-hemorrhagic anemia (35.8%), neuro-functional disorders (26.7%), and cardiovascular pathology (20.8%), suggesting that systemic metabolic and vascular factors contribute to UL pathogenesis. The multivariate statistical analysis (Tables 3,4) revealed several highly significant predictors of leiomyoma development. The strongest associations were observed for VEGF >95.1 pg/mL [odds ratio (OR) ~38.5], ≥2 induced abortions (OR ~8.8), overweight (OR ~8.2), and estradiol >40.5 pg/mL (OR ~8.3). Moderate risk was attributed to elevated FGF-1 >81.4 pg/mL (OR ~5.5), previous gynecologic surgery, pelvic inflammatory disease, early menopause, and hereditary predisposition (OR ~2–3). Conversely, frequent respiratory infections and urinary tract inflammation were not associated or were slightly protective (OR <1). Collectively, these findings delineate a metabolic-angiogenic risk profile in which estrogenic stimulation, angiogenic activation, and chronic inflammation act synergistically. Tumor markers CA-125 and CA-19-9 were significantly elevated, reflecting benign proliferative or inflammatory processes rather than malignant transformation Figure 2A (31-33). Hormonal and cytokine growth factor milieu serum profiling (Figure 2B,2C) showed pronounced elevations of progesterone and estradiol, confirming a hyperestrogenic-hyperprogestogenic background that favors smooth-muscle proliferation. In parallel, pro-inflammatory and angiogenic mediators-IL-6, TNF-α, TGF-β2, FGF, and VEGF-were markedly increased, whereas IGF-I was reduced, indicating suppression of reparative growth signaling. These patterns implicate RTK/MAPK, PI3K-AKT-mTOR, and TGF-β/SMAD pathways in myometrial hyperplasia, ECM remodeling, and vascular expansion (34). Their elevation mirrors the systemic inflammatory and metabolic stress associated with leiomyoma and should be interpreted contextually rather than diagnostically. Radiologic and morphologic correlations MRI demonstrated characteristic structural heterogeneity corresponding to perfusion and degeneration stages. Active intramural/subserosal lesions exhibited hyperintense T2 and strong contrast enhancement, denoting viable angiogenic tissue. Submucosal nodes showed hyperperfusion, consistent with cellular proliferation. Mixed-signal multiple nodes represented transitional fibrotic or degenerative forms, whereas cystic-necrotic leiomyomas displayed peripheral enhancement and reduced diffusion, reflecting ischemic remodeling (Figure 3A-3D) (35,36). Macroscopic and microscopic analysis (Figure 4) confirmed these imaging patterns. The tumors displayed whorled fibrous surfaces, bundled spindle-cell proliferation, and focal hyalinosis, with occasional adenomyosis-like infiltration and degenerative necrosis. These features align with chronic hypoxia and vascular dysregulation, paralleling biochemical evidence of VEGF and TGF-β2 overexpression. Integrated pathophysiologic interpretation. Correlation analysis revealed close interdependence between inflammation, hematologic stress, and metabolic imbalance. Taken together, these findings depict UL as a benign proliferative disorder driven by dysregulated angiogenesis and chronic inflammatory signaling superimposed on an estrogen-dominant endocrine milieu. Post-surgical dynamics and clinical implications following myomectomy or hysterectomy, VEGF levels decreased 1.6-fold, whereas IGF-I and FGF increased, indicating partial normalization of vascular and reparative processes (37). For follow-up, a compact immuno-hormonal-oncomarker panel-comprising VEGF, TGF-β2, IL-6, TNF-α, estradiol, IGF-I, and CA-125, 19-9-can enhance risk stratification and recurrence monitoring. Limitations and perspectives Limitations include a single-center design, cross-sectional biomarker evaluation, and limited confounder adjustment [e.g., parity, body mass index (BMI), metabolic profile]. Future studies should employ longitudinal sampling, multivariable regression, and imaging-biomarker integration to validate predictive thresholds and explore therapeutic modulation of angiogenic pathways.

Table 1

Comparative distribution of surgical types and morphological characteristics in patients with uterine leiomyoma in the control and experimental groups (n=61)

Category Procedure/details Control group (n=30), n (%) Experimental group (n=31), n (%) Total (n=61), n (%)
Organ-preserving surgeries Laparotomy, myomectomy 10 (33.3) 11 (35.5) 21 (34.4)
Laparoscopy, myomectomy 1 (3.3) 1 (3.2) 2 (3.3)
Hysteroscopy, myomectomy 1 (3.3) 1 (3.2) 2 (3.3)
Hyperplastic processes in the uterus Uterine myoma 14 (46.7) 15 (48.4) 29 (47.5)
Uterine myoma + adenomyosis 7 (23.3) 7 (22.6) 14 (23.0)
Uterine myoma + proliferation 9 (30.0) 9 (29.0) 18 (29.5)
Number of nodes Single large node 13 (43.3) 13 (41.9) 26 (42.6)
Multiple nodes 17 (56.7) 18 (58.1) 35 (57.4)
Localization of myomatous nodes Upper third of the uterine body 7 (23.3) 8 (25.8) 15 (24.6)
The middle third of the uterine body 14 (46.7) 14 (45.2) 28 (45.9)
Lower third of uterine body 4 (13.3) 4 (12.9) 8 (13.1)
Along anterior wall 11 (36.7) 12 (38.7) 23 (37.7)
Along posterior wall 9 (30.0) 10 (32.3) 19 (31.1)
Along lateral walls 5 (16.7) 6 (19.4) 11 (18.0)

Table 2

Structure of concomitant diseases in uterine leiomyoma in women of reproductive age

Disease/condition Control group (n=30), n Experimental group (n=31), n Total (n=61), n % of total
ARI, bronchitis 18 19 37 39.1
Chronic tonsillitis 6 7 13 10.8
Viral hepatitis 5 5 10 9.1
Cardiovascular diseases 12 13 25 20.8
Gastrointestinal diseases 8 8 16 13.3
Urinary system diseases 4 5 9 7.5
Endocrine diseases 7 7 14 11.6
Nervous system diseases 15 16 31 26.7
History of surgical interventions 13 14 27 22.5
Moderate/severe posthemorrhagic anemia 21 22 43 35.8
Hemotransfusion before surgery 5 6 11 10.0

ARI, acute respiratory infection.

Table 3

Quantitative assessment of the association between potential risk factors and the probability of uterine leiomyoma development based on multivariate statistical criteria

Risk factor χ² The level of significance Bridges (P) Criteria for assessing the strength of the relationship between the risk factor and the outcome
Association coefficients φ, Cramér’s V, and Tschuprow’s T Pearson contingency coefficient (C) Normalized value of Pearson’s coefficient (C’) Strength of association
Frequent acute respiratory infections 4.003 >005 0.116 0.115 0.162 Weak
Chronic tonsillitis /sinusitis 1.094 >0.05 0.060 0.060 0.085 Negligible
History of infectious hepatitis 0.423 >0.05 0.038 0.038 0.053 Negligible
History of gynecological surgical interventions 12.883 <0.001 0.207 0.203 0.287 Moderate
Inflammatory diseases of the genital organs 13.773 <0.001 0.214 0.210 0.296 Moderate
Inflammatory diseases of the urinary tract 17.062 <0.001 0.238 0.232 0.328 Moderate
2 or more medical abortions in anamnesis 73.484 <0.001 0.495 0.444 0.627 Strong
Hereditary predisposition to uterine fibroids 11.107 <0.001 0.192 0.189 0.267 Moderate
Overweight 69.429 <0.001 0.481 0.434 0.613 Strong
Hyperpolymenorrhea 22.473 <0.001 0.274 0.264 0.373 Moderate
Early onset of menopause 12.955 <0.001 0.208 0.203 0.288 Moderate
Estradiol >40.5 pg/mL 63.731 <0.001 0.461 0.419 0.592 Relatively strong
VEGF >95.1 pg/mL 138.889 <0.001 0.680 0.563 0.796 Strong
IGF-1>122.0 ng/mL 23.704 <0.001 0.281 0.271 0.383 Average
TGF-β1>81.4 pg/mL 45.523 <0.001 0.390 0.363 0.513 Relatively strong

IGF-1, insulin-like growth factor 1; TGF-β1, transforming growth factor beta 1; VEGF, vascular endothelial growth factor.

Table 4

Risk factors for the development of uterine leiomyoma in women of reproductive age

Risk factor OR 95% CI RR Se Sp
Frequent acute respiratory infections 0.623 0.391–0.992 0.794 0.54 0.34
Chronic tonsillitis /sinusitis 0.784 0.497–1.237 0.886 0.527 0.413
Infectious hepatitis 0.844 0.507–1.407 0.917 0.253 0.713
History of gynecological surgical interventions 2.325 1.461–3.698 1.535 0.640 0.567
Inflammatory diseases of reproductive organs 2.399 1.505–3.822 1.563 0.653 0.560
Inflammatory diseases of the urinary tract 0.369 0.228–0.595 0.623 0.487 0.280
2 or more medical abortions in the anamnesis 8.884 5.252–15.025 2.828 0.707 0.787
Hereditary predisposition to uterine fibroids 2.315 1.406–3.812 1.4747 0.413 0.767
Overweight 8.219 4.890–13.815 2.985 0.773 0.707
Hyperpolymenorrhea 0.278 0.161–0.479 0.577 0.593 0.160
Early onset of menopause 2.498 1.508–4.138 1.520 0.413 0.780
Estradiol >40.5 pg/mL 8.283 4.772–14.375 3.337 0.847 0.600
VEGF >95.1 pg/mL 38.500 18.432–80.419 9.333 0.933 0.733
Insulin-like factor >122.0 ng/mL 0.302 0.185–0.494 0.527 0.247 0.480
Transforming fibroblast growth factor-1 >81.4 pg/mL 5.524 3.301–9.245 2.160 0.580 0.800

This table presents the results of the logistic regression and contingency analysis evaluating clinical, hormonal, and immunological predictors of uterine leiomyoma. CI, confidence intervals; OR, odds ratios; RR, relative risks; Se, sensitivity; Sp, specificity; VEGF, vascular endothelial growth factor.

Overall, this investigation demonstrates that UL evolves through a coordinated cascade of hormonal stimulation, vascular proliferation, and inflammatory remodeling. Elevated VEGF, TGF-β2, IL-6, TNF-α, and estradiol, together with characteristic MRI and histological features, define its biological signature. Targeted metabolic and reproductive interventions, combined with biomarker-based surveillance, may offer improved prevention and management of leiomyoma in women of reproductive age. UL in women of reproductive age develops through an integrated hormonal angiogenic inflammatory mechanism, in which VEGF, TGF-β2, IL-6, and TNF-α act as leading mediators against a background of estrogen excess, metabolic dysregulation, and chronic inflammatory load (38). The most significant clinical predictors of tumor formation include ≥2 induced abortions, overweight, and elevated VEGF (>95 pg/mL), each conferring markedly increased odds of leiomyoma development. Among biochemical markers, pronounced elevations of CA-125, CA-19-9. These markers, though non-specific, reflect systemic inflammatory and metabolic comorbidity rather than malignant transformation, emphasizing the need for contextual interpretation in gynecologic diagnostics. Following organ-preserving or radical surgery, VEGF levels decreased 1.6-fold, while IGF-I and FGF levels increased, indicating partial restoration of vascular and immune homeostasis.


Conclusions

Preventive strategies should focus on metabolic correction, reproductive counseling, management of chronic inflammation, and early immune-biochemical screening in at-risk women to reduce recurrence and preserve fertility.


Acknowledgments

None.


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://qims.amegroups.com/article/view/10.21037/qims-2025-aw-2233/rc

Data Sharing Statement: Available at https://qims.amegroups.com/article/view/10.21037/qims-2025-aw-2233/dss

Funding: None.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-2025-aw-2233/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments, and was approved by the Institutional Review Board of Bukhara State Medical Institute (No. 571, dated April 22, 2024).Informed consent was obtained from all subjects involved in the study.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. PelvEx Collaborative. The Utility of T2-Weighted MRI Radiomics in the Prediction of Post-Exenteration Disease Recurrence: A Multi-Centre Externally Validated Study via the PelvEx Collaborative. Cancers (Basel) 2025;17:3061. [Crossref] [PubMed]
  2. Abdelazim IA, Abu-Faza M, Zhurabekova G, Svetlana S, Nusair B. Intra-leiomyoma hemorrhage in postmenopausal woman presented with acute abdominal pain. J Family Med Prim Care 2018;7:1129-32. [Crossref] [PubMed]
  3. Billon-Denis E, Tanfin Z, Robin P. Role of lysophosphatidic acid in the regulation of uterine leiomyoma cell proliferation by phospholipase D and autotaxin. J Lipid Res 2008;49:295-307. [Crossref] [PubMed]
  4. Bonazza C, Andrade SS, Sumikawa JT, Batista FP, Paredes-Gamero EJ, Girão MJ, Oliva ML, Castro RA. Primary Human Uterine Leiomyoma Cell Culture Quality Control: Some Properties of Myometrial Cells Cultured under Serum Deprivation Conditions in the Presence of Ovarian Steroids. PLoS One 2016;11:e0158578. [Crossref] [PubMed]
  5. Abaid LN, Rhee JM, Rausei-Mills V, Lim J, Police AM, Goldstein BH. Metastatic lobular breast carcinoma infiltrating a uterine leiomyoma. J Minim Invasive Gynecol 2011;18:674-7. [Crossref] [PubMed]
  6. Abrar S, Mohsin R. Vaginal Leiomyoma Presenting as Pelvic Organ Prolapse in Pregnancy. J Coll Physicians Surg Pak 2022;32:SS143-5. [Crossref] [PubMed]
  7. Rozikova DK, Ikhtiyarova GA, Karimova GK, Navruzova NO, Abdiyeva NR, Radjabova OI. New methods for early diagnosis of embryochorionic insufficiency. Clinical Review for General Practice 2025;6:73-80.
  8. Ikhtiyarova GA, Karimova GK, Orazov MR, Navruzova NO, Narzulloeva NS, Rozikova DK, Kostin IN. Early biochemical markers and screening diagnosis of gestational diabetes mellitus. Clinical Review for General Practice 2025;6:83-8.
  9. Ikhtiyarova GA, Karimova GK, Subanova GA, Navruzova NO, Narzulloeva NS, Oripova F, Rysbaeva AZ, Rahim F. Biochemical, laboratory and instrumental diagnostic indicators of early diagnosis of women with gestational diabetes. Endocrine and Metabolic Science 2025;18:100252.
  10. Diesen DL, Price TM, Skinner MA. Uterine leiomyoma in a 14-year-old girl. Eur J Pediatr Surg 2008;18:53-5. [Crossref] [PubMed]
  11. Agu I, Das R, Geller EJ, Carey ET, Chu CM. Prevalence of Lower Urinary Tract Symptoms in Women Planning to Undergo Hysterectomy for Uterine Leiomyoma and Abnormal Uterine Bleeding. J Womens Health (Larchmt) 2024;33:798-804. [Crossref] [PubMed]
  12. Ikhtiyarova GA, Dustova NQ, Oripova FSh, Tosheva II, Olimova NI, Qurbonova ZSh. PCOS in women with infertility and role of determinant genes of steroid hormones. BIO Web Conf 2024;121:04008.
  13. Wegienka G. Are uterine leiomyoma a consequence of a chronically inflammatory immune system? Med Hypotheses 2012;79:226-31. [Crossref] [PubMed]
  14. Abdelazim IA, Abu-Faza M, Abdelrazek K, Amer OO, Shikanova S, Zhurabekova G. Ovarian Fibroma Commonly Misdiagnosed as Uterine Leiomyoma. Gynecol Minim Invasive Ther 2020;9:36-8. [Crossref] [PubMed]
  15. Matrizaeva GD, Ikhtiyarova GA. Immune and immunohistochemical profile in women with miscarriage: modern approaches and research data. Clin Rev Gen Pract 2024;5:108-16.
  16. Merz H, Lange K, Koch BU, Bauer O, Gaulard P, Feller AC. Primary extranodal CD8 positive epitheliotropic T-cell lymphoma arising in a leiomyoma of the uterus. BJOG 2003;110:527-9.
  17. Zouari IB, Gouiaa N, Charfi S, Ellouze S, Chaari C, Kessentini M, Hssini A, Boudawara TS. Uterine leiomyoma with massive lymphoid infiltration: case report. Ann Pathol 2011;31:98-101. [Crossref] [PubMed]
  18. Wakabayashi A, Takeda T, Tsuiji K, Li B, Sakata M, Morishige K, Yaegashi N, Kimura T. Antiproliferative effect of adiponectin on rat uterine leiomyoma ELT-3 cells. Gynecol Endocrinol 2011;27:33-8. [Crossref] [PubMed]
  19. Xu Q, Ohara N, Chen W, Liu J, Sasaki H, Morikawa A, Sitruk-Ware R, Johansson ED, Maruo T. Progesterone receptor modulator CDB-2914 down-regulates vascular endothelial growth factor, adrenomedullin and their receptors and modulates progesterone receptor content in cultured human uterine leiomyoma cells. Hum Reprod 2006;21:2408-16. [Crossref] [PubMed]
  20. Panagopoulos I, Andersen K, Gorunova L, Davidson B, Micci F, Heim S. Fusion of the HMGA2 and BNC2 Genes in Uterine Leiomyoma With t(9;12)(p22;q14). In Vivo 2022;36:2654-61. [Crossref] [PubMed]
  21. Swartz CD, Afshari CA, Yu L, Hall KE, Dixon D. Estrogen-induced changes in IGF-I, Myb family and MAP kinase pathway genes in human uterine leiomyoma and normal uterine smooth muscle cell lines. Mol Hum Reprod 2005;11:441-50. [Crossref] [PubMed]
  22. Wise LA, Sponholtz TR, Rosenberg L, Adams-Campbell LL, Kuohung W, LaValley MP, Palmer JR. History of uterine leiomyoma and risk of endometrial cancer in black women. Cancer Causes Control 2016;27:545-52. [Crossref] [PubMed]
  23. Zámecník M, Kascák P. Uterine leiomyoma with amianthoid-like fibers. Cesk Patol 2011;47:125-7.
  24. Yang S, Kong F, Hou R, Rong F, Ma N, Li S, Yang J. Ultrasound guided high-intensity focused ultrasound combined with gonadotropin releasing hormone analogue (GnRHa) ablating uterine leiomyoma with homogeneous hyperintensity on T(2) weighted MR imaging. Br J Radiol 2017;90:20160760. [Crossref] [PubMed]
  25. Wegienka G, Havstad S, Coleman C, Cooper T, Wesselink A, Upson K, Marsh EE, Vines AI, Harmon Q, Baird D, Wise LA. Ultrasound-Confirmed, Age-Specific Uterine Leiomyoma Incidence in a Cohort of Black Individuals. Obstet Gynecol 2022;140:1042-8. [Crossref] [PubMed]
  26. Chu CM, Dabney L, Hardart A. Treatment of urinary retention caused by uterine leiomyoma with a gonadotropin-releasing hormone agonist: case report and review. Female Pelvic Med Reconstr Surg 2013;19:52-5. [Crossref] [PubMed]
  27. Koltsova AS, Efimova OA, Pendina AA. A View on Uterine Leiomyoma Genesis through the Prism of Genetic, Epigenetic and Cellular Heterogeneity. Int J Mol Sci 2023;24:5752. [Crossref] [PubMed]
  28. Kwon SY, Lee G, Kim YS. Management of severely painful uterine leiomyoma in a pregnant woman with epidural block using a subcutaneous injection port. Acta Obstet Gynecol Scand 2014;93:839. [Crossref] [PubMed]
  29. Luo X, Shen Y, Song WX, Chen PW, Xie XM, Wang XY. Pathologic evaluation of uterine leiomyoma treated with radiofrequency ablation. Int J Gynaecol Obstet 2007;99:9-13. [Crossref] [PubMed]
  30. Marino JL, Eskenazi B, Warner M, Samuels S, Vercellini P, Gavoni N, Olive D. Uterine leiomyoma and menstrual cycle characteristics in a population-based cohort study. Hum Reprod 2004;19:2350-5. [Crossref] [PubMed]
  31. Yaguchi A, Ban K, Koshida Y, Fujikami Y, Ogura E, Terada A, Akagi K, Matsumoto H, Tobiume T, Okagaki A, Tatsumi K. Pseudo-Meigs Syndrome Caused by a Giant Uterine Leiomyoma with Cystic Degeneration: A Case Report. J Nippon Med Sch 2020;87:80-6. [Crossref] [PubMed]
  32. Yilmaz N, Sahin I, Kilic S, Ozgu E, Gungor T, Bilge U. Assessment of the predictivity of preoperative serum CA 125 in the differential diagnosis of uterine leiomyoma and uterine sarcoma in the Turkish female population. Eur J Gynaecol Oncol 2009;30:412-4.
  33. Juang CM, Yen MS, Horng HC, Twu NF, Yu HC, Hsu WL. Potential role of preoperative serum CA125 for the differential diagnosis between uterine leiomyoma and uterine leiomyosarcoma. Eur J Gynaecol Oncol 2006;27:370-4.
  34. Ye Y, Cheng X, Luo HB, Liu L, Li YB, Hou YP. CYP1A1 and CYP1B1 genetic polymorphisms and uterine leiomyoma risk in Chinese women. J Assist Reprod Genet 2008;25:389-94. [Crossref] [PubMed]
  35. Yajima R, Kido A, Kuwahara R, Moribata Y, Chigusa Y, Himoto Y, Kurata Y, Matsumoto Y, Otani S, Nishio N, Minamiguchi S, Mandai M, Nakamoto Y. Diagnostic performance of preoperative MR imaging findings for differentiation of uterine leiomyoma with intraligamentous growth from subserosal leiomyoma. Abdom Radiol (NY) 2021;46:4036-45. [Crossref] [PubMed]
  36. Li AH, Chen L, Melamed A, Hershman DL, Wright JD. Medical and surgical retreatment for uterine leiomyoma after myomectomy. BJOG 2023;130:835-7. [Crossref] [PubMed]
  37. Khorrami H, Rackow BW. Hysteroscopic resection of a symptomatic uterine leiomyoma in an adolescent. J Pediatr Adolesc Gynecol 2011;24:e111-4. [Crossref] [PubMed]
  38. Khodjieva DT, Akhrorova SB, Khayrieva MF, Tukhtayev IT, Tulayev MJ, Kudratova SR, Bozorov UN, Davronova HZ, Ochilova DO, Raupova NS, Samadov AU, Khaydarova DK. Correlation between neuroimaging, neurological deficits, and neurotrophic proteins in predicting rehabilitation potential in ischemic stroke patients. Quant Imaging Med Surg 2025;15:10123-38. [Crossref] [PubMed]
Cite this article as: Dustova NK, Meirmanova A, Omarova G, Veliyeva A, Begniyazova Z, Buzumova Z, Makhmutova E, Yuldasheva A, Matrizaeva GD, Khaydarova NB, Oripova FS, Khafizova DB, Karshieva EE, Ruzieva NK, Ikhtiyarova GA. Clinical prognostic value of imaging and immuno-hormonal markers in uterine leiomyoma. Quant Imaging Med Surg 2026;16(9):732. doi: 10.21037/qims-2025-aw-2233

Download Citation