PDF(Pubmed)
Abstract：
UNASSIGNED: Malignant Mixed Mullerian Tumors (MMMT) are rare and poorly understood sarcomas with limited research on risk factors, pathogenesis, and optimal treatments. This study aimed to address this knowledge gap and explore the impact of community size, patient characteristics, disease characteristics, and treatment modalities on MMMT outcomes.
UNASSIGNED: Using the Surveillance, Epidemiology, and End Results database (SEER), the largest SEER cohort to date of 3,352 MMMT patients was analyzed for demographic factors, treatment modalities, and histologic characteristics. Data was processed, including the removal of incomplete entries, and analyzed in Python 3.1 using packages scikit-learn, lifelines, and torch; log-rank analysis and Cox proportional hazards models were used to evaluate a number of demographic characteristics and disease characteristics for significance in regard to survival.
UNASSIGNED: Our study found adjuvant radiotherapy and chemotherapy significantly improved survival, with modest benefits from neoadjuvant chemotherapy. Our findings also suggest age at diagnosis, disease grade, and suburban versus rural geographic locations may play key roles in patient prognosis. On multivariable analysis both disease Grade and surgical treatment were significant factors.
UNASSIGNED: MMMTs remain challenging, but appropriate treatment appears to enhance survival. The present findings suggest opportunities for improved outcomes and treatment strategies for patients with MMMTs.
UNASSIGNED: Using the Surveillance, Epidemiology, and End Results database (SEER), the largest SEER cohort to date of 3,352 MMMT patients was analyzed for demographic factors, treatment modalities, and histologic characteristics. Data was processed, including the removal of incomplete entries, and analyzed in Python 3.1 using packages scikit-learn, lifelines, and torch; log-rank analysis and Cox proportional hazards models were used to evaluate a number of demographic characteristics and disease characteristics for significance in regard to survival.
UNASSIGNED: Our study found adjuvant radiotherapy and chemotherapy significantly improved survival, with modest benefits from neoadjuvant chemotherapy. Our findings also suggest age at diagnosis, disease grade, and suburban versus rural geographic locations may play key roles in patient prognosis. On multivariable analysis both disease Grade and surgical treatment were significant factors.
UNASSIGNED: MMMTs remain challenging, but appropriate treatment appears to enhance survival. The present findings suggest opportunities for improved outcomes and treatment strategies for patients with MMMTs.
摘要：
■恶性混合苗勒症肿瘤（MMMT）是罕见且鲜为人知的肉瘤，对危险因素的研究有限，发病机制，和最佳治疗。本研究旨在解决这一知识差距，并探讨社区规模的影响，患者特征,疾病特征，和MMMT结局的治疗方式。
■使用监视，流行病学,和最终结果数据库(SEER)，对迄今为止最大的SEER队列3352例MMMT患者进行了人口统计学因素分析，治疗方式，和组织学特征。数据已被处理，包括删除不完整的条目，并在Python3.1中使用scikit-learn包进行分析，生命线,和torch;使用对数秩分析和Cox比例风险模型来评估许多人口统计学特征和疾病特征在生存率方面的重要性。
■我们的研究发现，辅助放疗和化疗显著提高了生存率，新辅助化疗的益处不大。我们的发现还表明诊断时的年龄，疾病等级,郊区和农村地理位置可能在患者预后中起关键作用。在多变量分析中，疾病分级和手术治疗是重要因素。
■MMMT仍然具有挑战性，但适当的治疗似乎可以提高生存率。目前的研究结果表明，MMMTs患者有改善预后和治疗策略的机会。
■使用监视，流行病学,和最终结果数据库(SEER)，对迄今为止最大的SEER队列3352例MMMT患者进行了人口统计学因素分析，治疗方式，和组织学特征。数据已被处理，包括删除不完整的条目，并在Python3.1中使用scikit-learn包进行分析，生命线,和torch;使用对数秩分析和Cox比例风险模型来评估许多人口统计学特征和疾病特征在生存率方面的重要性。
■我们的研究发现，辅助放疗和化疗显著提高了生存率，新辅助化疗的益处不大。我们的发现还表明诊断时的年龄，疾病等级,郊区和农村地理位置可能在患者预后中起关键作用。在多变量分析中，疾病分级和手术治疗是重要因素。
■MMMT仍然具有挑战性，但适当的治疗似乎可以提高生存率。目前的研究结果表明，MMMTs患者有改善预后和治疗策略的机会。
