Nie Xianglin, Xu Ting, Cheng Wenjun
Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Int J Gynaecol Obstet. 2025 Feb;168(2):559-571. doi: 10.1002/ijgo.15899. Epub 2024 Sep 11.
The aim of this study was to identify survival rates and potential prognostic factors of ovarian squamous cell carcinoma (OSCC), offering valuable insights for clinical decision making.
Leveraging the Surveillance, Epidemiology, and End Results (SEER) database, we selected 11 078 serous carcinoma (SC) patients and 198 OSCC patients based on predetermined criteria diagnosed from 2000 to 2020. We compared the overall survival (OS) and cancer-specific survival (CSS) before and after propensity score matching (PSM) in two groups. Prognostic differences were also compared between OSCC and SC groups at different stages. Univariate and multivariate Cox regression analyses were performed to investigate the impact of clinical and pathologic variables on the survival of patients with OSCC. Finally, we developed and validated a nomogram predictive model.
OSCC tumors exhibited distinct characteristics, being relatively larger, more frequently unilateral, and better differentiated than SC tumors. After PSM, Kaplan-Meier analysis revealed significantly lower survival rates for OSCC patients in Stages IIB-IV, while Stages IA-IC displayed comparable survival. Independent risk factors for OSCC patients included advanced age, single marital status, higher tumor stage, and increased tumor size. Conversely, higher median household income and chemotherapy emerged as independent protective factors. Our predictive model and nomogram accurately forecasted patient survival rates in both SEER and internal validation datasets.
OSCC patients face significantly poorer prognosis than their SC counterparts, except in the very early stages. Higher median household income was associated with better OSCC survival.
本研究旨在确定卵巢鳞状细胞癌（OSCC）的生存率和潜在预后因素，为临床决策提供有价值的见解。
利用监测、流行病学和最终结果（SEER）数据库，我们根据2000年至2020年诊断的预定标准，选择了11078例浆液性癌（SC）患者和198例OSCC患者。我们比较了两组倾向评分匹配（PSM）前后的总生存期（OS）和癌症特异性生存期（CSS）。还比较了不同阶段OSCC组和SC组之间的预后差异。进行单因素和多因素Cox回归分析，以研究临床和病理变量对OSCC患者生存的影响。最后，我们开发并验证了一个列线图预测模型。
OSCC肿瘤表现出不同的特征，比SC肿瘤相对更大、更常为单侧且分化更好。PSM后，Kaplan-Meier分析显示IIB-IV期OSCC患者的生存率显著较低，而IA-IC期的生存率相当。OSCC患者的独立危险因素包括高龄、单身婚姻状况、较高的肿瘤分期和肿瘤大小增加。相反，较高的家庭收入中位数和化疗是独立的保护因素。我们的预测模型和列线图在SEER和内部验证数据集中均准确预测了患者的生存率。
除极早期外，OSCC患者的预后明显比SC患者差。家庭收入中位数较高与OSCC患者更好的生存率相关。
