Diagnostic Performance of Galectin-1 and Mucin-1 in Uterine Tumors: A Case–Control Study

Background and Objectives: Uterine leiomyomas are common benign tumors, whereas uterine sarcomas are rare but aggressive malignancies. Preoperative differentiation among leiomyoma, smooth muscle tumor of uncertain malignant potential (STUMP), and uterine sarcoma remains a major clinical challenge, with diagnosis often established only after histopathological evaluation. The identification of reliable circulating biomarkers could improve preoperative risk stratification and guide surgical decision-making. This study aimed to evaluate the usefulness of galectin-1 and mucin-1 in the diagnosis of uterine tumors. Materials and methods: This prospective, single-center case–control study was conducted at the Third Department of Obstetrics & Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, between 2013 and 2024. Serum galectin-1 and mucin-1 levels were measured preoperatively using ELISA and electrochemiluminescence immunoassay (ECLIA), respectively. Group comparisons were performed using non-parametric tests. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Multivariable logistic regression was used to assess independent associations with sarcomas/STUMP status. Results: The study population comprised 156 women (49 healthy controls, 90 patients with uterine myomas, 8 with STUMP and 9 patients with uterine sarcomas) treated during the study period. Galectin-1 differed significantly across the four histological groups (p < 0.001), with higher concentrations in uterine sarcoma than in healthy controls (p < 0.001) and leiomyoma (p = 0.002). MUC1 also differed overall (p = 0.031), with higher concentrations in uterine sarcoma than in leiomyoma (adjusted p = 0.031). In the primary leiomyoma versus sarcoma/STUMP ROC analysis, galectin-1 showed modest discrimination (AUC 0.693, 95% CI 0.559–0.826), while MUC1 showed weaker discrimination (AUC 0.618, 95% CI 0.468–0.768). Conclusions: Serum galectin-1 may have potential as an adjunctive biomarker in the preoperative assessment of uterine tumors, but its modest discrimination and unstable cutoff-dependent performance may preclude its use as a standalone diagnostic test. MUC1 showed limited diagnostic utility in the primary clinical comparison. Given the clinical implications of misdiagnosis, particularly regarding surgical management, further validation in larger cohorts and multimarker approaches are warranted.

Authors

Institutions

Publication Details

Journal
Current Issues in Molecular Biology
Published
2026-09-16
DOI
https://doi.org/10.3390/cimb48090948
Primary Topic
Galectins and Cancer Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Diagnostic Performance of Galectin-1 and Mucin-1 in Uterine Tumors: A Case–Control Study

Ιoannis Tsakiridis, Ioannis Kalogiannidis, Kali Makedou, Themistoklis Dagklis et al.
Current Issues in Molecular Biology
Galectins and Cancer Biology
article

Diagnostic Performance of Galectin-1 and Mucin-1 in Uterine Tumors: A Case–Control Study

Ιoannis Tsakiridis, Ioannis Kalogiannidis, Kali Makedou, Themistoklis Dagklis, Apostolos Mamopoulos, Aikaterini Sidera, Areti Kourti, Apostolos Athanasiadis, Paraskevi Karioti, Georgios Karavas
article en

Abstract

Background and Objectives: Uterine leiomyomas are common benign tumors, whereas uterine sarcomas are rare but aggressive malignancies. Preoperative differentiation among leiomyoma, smooth muscle tumor of uncertain malignant potential (STUMP), and uterine sarcoma remains a major clinical challenge, with diagnosis often established only after histopathological evaluation. The identification of reliable circulating biomarkers could improve preoperative risk stratification and guide surgical decision-making. This study aimed to evaluate the usefulness of galectin-1 and mucin-1 in the diagnosis of uterine tumors. Materials and methods: This prospective, single-center case–control study was conducted at the Third Department of Obstetrics & Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, between 2013 and 2024. Serum galectin-1 and mucin-1 levels were measured preoperatively using ELISA and electrochemiluminescence immunoassay (ECLIA), respectively. Group comparisons were performed using non-parametric tests. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Multivariable logistic regression was used to assess independent associations with sarcomas/STUMP status. Results: The study population comprised 156 women (49 healthy controls, 90 patients with uterine myomas, 8 with STUMP and 9 patients with uterine sarcomas) treated during the study period. Galectin-1 differed significantly across the four histological groups (p < 0.001), with higher concentrations in uterine sarcoma than in healthy controls (p < 0.001) and leiomyoma (p = 0.002). MUC1 also differed overall (p = 0.031), with higher concentrations in uterine sarcoma than in leiomyoma (adjusted p = 0.031). In the primary leiomyoma versus sarcoma/STUMP ROC analysis, galectin-1 showed modest discrimination (AUC 0.693, 95% CI 0.559–0.826), while MUC1 showed weaker discrimination (AUC 0.618, 95% CI 0.468–0.768). Conclusions: Serum galectin-1 may have potential as an adjunctive biomarker in the preoperative assessment of uterine tumors, but its modest discrimination and unstable cutoff-dependent performance may preclude its use as a standalone diagnostic test. MUC1 showed limited diagnostic utility in the primary clinical comparison. Given the clinical implications of misdiagnosis, particularly regarding surgical management, further validation in larger cohorts and multimarker approaches are warranted.

Current Issues in Molecular BiologyVol. 48(9)
Aristotle University of Thessaloniki (GR), AHEPA University Hospital (GR)
Gender equality
Openalex Percentile: Top 17%
Galectins and Cancer Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.