Suppr超能文献

子宫腺肉瘤的预后因素:综述。

Prognostic factors for uterine adenosarcoma: a review.

机构信息

a Center for bone and soft tissue sarcomas , Dana-Farber Cancer Institute , Boston , MA , USA.

b Department of Sarcoma Medical Oncology , The University of Texas MD Anderson Cancer Center , Houston , TX , USA.

出版信息

Expert Rev Anticancer Ther. 2018 Nov;18(11):1093-1100. doi: 10.1080/14737140.2018.1518136. Epub 2018 Sep 11.

Abstract

Uterine adenosarcoma is a rare tumor with both epithelial and stromal components. Standard treatment is total abdominal hysterectomy and bilateral salpingo-oophorectomy. There is no defined role for adjuvant or neoadjuvant chemotherapy or radiation. There is a misconception that this is an indolent, low-grade sarcoma. In fact, at least 50% of patients will develop disease recurrence. Establishing prognostic factors is of paramount importance. Areas covered: This article reviews the current literature regarding adenosarcoma prognostic factors from case reports, case series, and retrospective series. An extensive review of the literature was undertaken via PubMed and Medline searches, relevant articles are included in this review. Expert commentary: The most important prognostic factors of uterine adenosarcoma are age, presence of sarcomatous overgrowth, presence of myometrial invasion, presence of lymphovascular invasion, and lymph node involvement. These factors can be used to accurately prognosticate for uterine adenosarcoma patients. Patients at low risk of disease recurrence can be identified. These patients require observation alone. Patients at high risk of disease recurrence can be identified and are candidates for aggressive therapy with adjuvant chemotherapy to reduce the risk of disease recurrence.

摘要

子宫腺肉瘤是一种罕见的肿瘤,具有上皮和间质成分。标准治疗方法是全子宫切除术和双侧输卵管卵巢切除术。辅助或新辅助化疗或放疗的作用尚未确定。有一种误解认为这是一种良性、低度肉瘤。事实上,至少 50%的患者会出现疾病复发。确定预后因素至关重要。

涵盖领域

本文回顾了来自病例报告、病例系列和回顾性系列的关于腺肉瘤预后因素的现有文献。通过 PubMed 和 Medline 搜索进行了广泛的文献复习,本综述纳入了相关文章。

专家评论

子宫腺肉瘤最重要的预后因素是年龄、肉瘤过度生长、肌层浸润、脉管侵犯和淋巴结受累。这些因素可用于准确预测子宫腺肉瘤患者的预后。可以识别出疾病复发风险低的患者。这些患者仅需观察即可。可以识别出疾病复发风险高的患者,他们是辅助化疗的候选者,以降低疾病复发的风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验