Evidence map›Paper›PMID 41630821›Full record

ArticleJournal of clinical medicine research2026

Clinicopathologic and Immunohistochemical Correlates of Disease-Free Survival in Endometrial Stromal Sarcomas: A Multicenter Retrospective Study From 2017 to 2025.

Lali Barbakadze, Giorgi Gogitidze, Nikoloz Kintraia, Shota Kepuladze, George Burkadze

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Article in Journal of clinical medicine research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lali BarbakadzeStudy-Diagnostic and Scientific Laboratory, Tbilisi State Medical University (TSMU), Tbilisi, Georgia.
Giorgi GogitidzeStudy-Diagnostic and Scientific Laboratory, Tbilisi State Medical University (TSMU), Tbilisi, Georgia.
Nikoloz KintraiaStudy-Diagnostic and Scientific Laboratory, Tbilisi State Medical University (TSMU), Tbilisi, Georgia.
Shota KepuladzeStudy-Diagnostic and Scientific Laboratory, Tbilisi State Medical University (TSMU), Tbilisi, Georgia.
George BurkadzeStudy-Diagnostic and Scientific Laboratory, Tbilisi State Medical University (TSMU), Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometrial stromal tumors (ESTs) represent a heterogeneous group of uterine mesenchymal neoplasms with variable clinical outcomes. Although histological grading is a cornerstone for prognosis, the contribution of proliferative and immune microenvironment markers remains incompletely defined. Methods: We retrospectively analyzed 90 patients diagnosed with endometrial stromal nodule (ESN) (n = 30), low-grade endometrial stromal sarcoma (LG-ESS, n = 30), and high-grade endometrial stromal sarcoma (HG-ESS, n = 30) between 2017 and 2025 across 35 public and private clinics in four Georgian cities. All specimens underwent standardized immunohistochemistry for estrogen receptor (ER), progesterone receptor (PR), Ki67, cyclinD1, cyclin-dependent kinase 4 (CDK4), CD117, forkhead box P3 (FOXP3), CD163, and CD34. Disease-free survival (DFS) was calculated from date of surgery to recurrence/metastasis. Kaplan-Meier curves and log-rank tests were used to assess survival differences, and data-driven cutoffs (Youden index) were employed to stratify biomarker expression. Multivariable Cox proportional hazards regression was applied to identify independent predictors of recurrence. Results: Median follow-up was 55 months. DFS significantly differed by histology: not reached for ESN, 20.0 months for LG-ESS, and 5.0 months for HG-ESS (log-rank P < 0.0001). High Ki67, cyclinD1, CDK4, CD117, FOXP3, and CD163 predicted shortened DFS, while ER/PR expression correlated with prolonged DFS (all P < 0.0001). In adjusted models, lymphovascular space invasion (LVSI) (odds ratio (OR): 3.59, 95% confidence interval (CI): 3.21 - 3.87), Ki67 (OR: 4.65, 4.08 - 5.10), tumor necrosis (OR: 2.39, 2.06 - 2.79), cyclinD1 (OR: 2.20, 1.99 - 2.43), and CD163 (OR: 2.06, 1.72 - 2.51) remained independently associated with recurrence. Conclusions: Beyond histological grade, proliferative signaling and M2 macrophage polarization strongly influence recurrence risk in ESS. These findings highlight potential diagnostic and therapeutic targets, suggesting integration of immune and cell-cycle biomarkers into future risk stratification models.

Indexed as

CD163CyclinD1Disease-free survivalEndometrial stromal sarcomaImmunohistochemistryKi67Multicenter cohortPrognostic biomarkers

Identifiers

PMID41630821
PMCPMC12861515

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