Suppr超能文献

[脊柱转移性乳腺癌:选择合适治疗策略的分子预测指标]

[Metastatic breast cancer in the spine : Molecular predictors for choosing adequate treatment strategies].

作者信息

Adler D, Kriegsmann M, Sinn P, Schneeweiss A, Almansour H, Lehner B, Akbar M

机构信息

Zentrum für Wirbelsäulenchirurgie, Klinik für Orthopädie, Unfallchirurgie und Paraplegiologie, Universitätsklinikum Heidelberg, Schlierbacher Landstraße 200a, 69118, Heidelberg, Deutschland.

Pathologisches Institut, Universität Heidelberg, Heidelberg, Deutschland.

出版信息

Orthopade. 2018 Jul;47(7):594-603. doi: 10.1007/s00132-018-3540-9.

Abstract

Breast cancer is the most common malignancy affecting women and the spinal column is most likely affected by metastases. Modern oncologic treatment options have significantly prolonged survival times in the last decade. Therefore, treatment of vertebral metastases has been of special interest in spine surgery. Different scores are described to evaluate prognosis and to choose correct treatment strategies, which however only differentiate tumor entities and not specific tumor phenotypes. Breast cancer has been classified into five intrinsic subtypes with different survival rates since the turn of the millennium. The aim of this review was to describe molecular predictors of breast cancer malignancy and to better estimate expected survival times and invasiveness of therapies with regard to spinal metastases.

摘要

乳腺癌是影响女性的最常见恶性肿瘤,脊柱最易受到转移瘤的影响。在过去十年中,现代肿瘤治疗方案显著延长了生存期。因此,椎体转移瘤的治疗一直是脊柱外科特别关注的问题。人们描述了不同的评分系统来评估预后并选择正确的治疗策略,然而这些评分系统仅能区分肿瘤类型,而不能区分特定的肿瘤表型。自千禧年之交以来,乳腺癌已被分为五种具有不同生存率的内在亚型。本综述的目的是描述乳腺癌恶性程度的分子预测指标,并更好地估计脊柱转移瘤患者的预期生存期以及治疗的侵袭性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验