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Prognostic and Predictive Factors for Uterine Sarcomas: A Single Center Experience

Genel Tip Dergisi · Şubat 2025

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YÖKSİS Kayıtları
Prognostic and Predictive Factors for Uterine Sarcomas: A Single Center Experience
Genel Tıp Dergisi · 2025 Scopus
Prof. Dr. ÇETİN ÇELİK →
Prognostic and Predictive Factors for Uterine Sarcomas: A Single Center Experience
Genel Tıp Dergisi · 2025 TR DİZİN
Prof. Dr. MEHMET KULHAN →

Makale Bilgileri

Dergi Genel Tip Dergisi
Yayın TarihiŞubat 2025
Cilt / Sayfa35 · 7-15
DOI10.54005/geneltip.1430965
Scopus ID2-s2.0-105011328495
Erişim🔓 Açık Erişim
Özet Objective: To investigate the prognostic and predictive factors for uterine sarcomas, recognizing the challenge due to histological diversity and lack of definitive treatment. Methods: We reviewed data from uterine sarcoma patients treated from July 2010 to August 2021. Cases were divided into endometrial stromal sarcoma (ESS), leiomyosarcoma (LMS), and others (rhabdomyosarcoma, adenosarcoma), examining clinicopathological features, age, survival rates, and recurrence risk factors. Results: In 43 patients (average age, 59.1 years), the most common symptom was vaginal bleeding. The majority were postmenopausal, with a breakdown of 65.1% ESS, 18.6% LMS, and 16.3% other sarcomas. Most (65.1%) were stage 1. Surgery was primarily via laparotomy (95.3%), with 79.1% receiving adjuvant therapy. Recurrence was 18.6%. Significant differences in survival rates were found across groups, with LMS significantly affecting survival and recurrence risk linked to tumor size and surgical stage. Five-year overall survival was 72.1%, and disease-free survival was 67.4%. Conclusion: ESS is the most common uterine sarcoma, but LMS presents the worst prognosis. Tumor size and surgical stage are key to recurrence risk, highlighting the need for further study on adjuvant treatments.

Yazarlar (5)

1
Fazıl Avcı
ORCID: 0000-0002-9244-9168
2
Belma Gözde Özdemir
ORCID: 0000-0002-7025-4087
3
Mehmet Kulhan
ORCID: 0000-0002-5478-7510
4
A. Bilgi
ORCID: 0000-0001-8682-1739
5
Çetin Çelik
ORCID: 0000-0001-6165-5092

Anahtar Kelimeler

Gynecological surgery predictive prognostic factors survival uterine sarcoma

Kurumlar

Selçuk Tip Fakültesi
Konya Turkey

Sistemimizdeki Yazarlar

MK
MEHMET KULHAN
Prof. Dr.

Hızlı Erişim

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