Suppr超能文献

肾细胞癌患者的预后预测。

Outcome prediction for patients with renal cell carcinoma.

作者信息

Lohse Christine M, Gupta Sounak, Cheville John C

机构信息

Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St, Southwest Rochester, Minnesota 55905.

出版信息

Semin Diagn Pathol. 2015 Mar;32(2):172-83. doi: 10.1053/j.semdp.2015.02.008. Epub 2015 Feb 7.

Abstract

Outcome assessment for renal cell carcinoma is somewhat controversial. Despite numerous studies, a very limited variety of features have been recognized as having prognostic significance in clinical practice. In this review, tumor features considered to be of importance in outcome prediction for surgically treated patients with the 3 most commonly encountered morphotypes of renal cell carcinoma (clear cell, papillary, and chromophobe renal cell carcinoma) are evaluated. In particular, we have focused upon histologic subtype, sarcomatoid and rhabdoid differentiation, TNM staging, primary tumor size, tumor grade, and the presence of histologic coagulative tumor necrosis. We have also examined the importance of these prognostic features in a variety of postoperative or outcome prediction models developed by several institutions.

摘要

肾细胞癌的疗效评估存在一定争议。尽管有大量研究,但在临床实践中,仅有非常有限的多种特征被认为具有预后意义。在本综述中,我们评估了对于接受手术治疗的肾细胞癌3种最常见形态类型(透明细胞癌、乳头状癌和嫌色细胞癌)患者的预后预测具有重要意义的肿瘤特征。特别是,我们重点关注了组织学亚型、肉瘤样和横纹肌样分化、TNM分期、原发肿瘤大小、肿瘤分级以及组织学凝固性肿瘤坏死的存在情况。我们还研究了这些预后特征在多个机构开发的各种术后或预后预测模型中的重要性。

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