Clinicopathological Predictors of Recurrence in Uterine Sarcomas-A Narrative Review
- Emmanuel N Kontomanolis 1, Ioakeim Sapantzoglou 2, Konstantinos Nikolettos 3, Evangelia Kontogeorgi 2, Vasiliki Lampraki 2, Dimitrios Papageorgiou 4, Paraskevas Perros 2, Zacharias Fasoulakis 2, Aristotelis-Marios Koulakmanidis 2, Maria-Anastasia Daskalaki 2, Vasilios Pergialiotis 2, Panagiotis Antsaklis 2, Marianna Theodora 2, George Daskalakis 2
- 1Department of Obstetrics and Gynecology, Democritus University, 67100 Alexandroupolis, Greece.
- 21st Department of Obstetrics and Gynecology, Alexandra Hospital, National and Kapodistrian University of Athens, Vasilissis Sofias 80 Aven., 11528 Athens, Greece.
- 3Department of Gynecological Oncology, Maidstone and Turnbridge Wells, NHS Trust, Maidstone TN2 4QJ, UK.
- 4Department of Gynecology, Athens Naval and Veterans Hospital, 11521 Athens, Greece.
- 0Department of Obstetrics and Gynecology, Democritus University, 67100 Alexandroupolis, Greece.
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Summary
This summary is machine-generated.This review identifies clinical, histological, and molecular factors predicting recurrence in uterine sarcomas like leiomyosarcomas. Further research is needed to refine risk stratification and personalize patient care.
Area Of Science
- Gynecologic Oncology
- Pathology
- Genetics
Background
- Sarcomas are rare, diverse malignant tumors originating from mesenchymal tissues.
- They exhibit varied histopathology, clinical courses, and treatment responses.
- Uterine sarcomas include leiomyosarcomas, carcinosarcomas, and endometrial stromal sarcomas.
Purpose Of The Study
- To clarify clinicopathological and molecular predictors of recurrence in specific uterine sarcomas.
- To enhance understanding for improved clinical knowledge and patient care.
- To guide consultation practices and treatment strategies.
Main Methods
- Comprehensive structured narrative review of literature.
- Searched PubMed/MEDLINE, Embase, Cochrane Library, and Scopus.
- Included articles published up to 31 March 2025.
Main Results
- Summarized evidence on clinical, histological, and molecular predictors of recurrence and poor prognosis.
- Identified stage, grade, tumor size, and molecular biomarkers as high-risk parameters.
- Noted contradictory results in existing data, highlighting the need for further research.
Conclusions
- Next-generation sequencing aids in identifying women at increased risk of recurrence and adverse prognosis.
- Stratifying risk requires understanding clinical, histological, and molecular factors.
- This knowledge is essential for effective consultation, management, and individualized care.
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