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Molecular signatures that predict nodal metastasis in bladder cancer: does the primary tumor tell tales?

机译:预测膀胱癌中核心转移的分子鉴定:原发性肿瘤是否讲述故事?

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摘要

Evaluation of: Smith SC, Baras AS, Dancik G et al. A 20-gene model for molecular nodal staging of bladder cancer: development and prospective assessment. Lancet Oncol. 12, 137-143 (2011). Accurate identification of nodal status in patients with bladder cancer is important in determining their prognosis and administration of perioperative chemotherapy. In this article, we review the study by Smith and colleagues, documenting the identification of a 20-gene model that can predict nodal stage in patients with bladder cancer based on the profiles of their primary tumors. The gene-expression model generated in this study was able to identify node-positive disease based on tumor tissues obtained from patients in a Phase III bladder cancer trial cohort. The model was able to predict nodal status independent of standard clinicopathologic prognostic criteria. This study adds the agnostic profiling dimension to prior investigations that have attempted to define molecular signatures that predict nodal metastasis in bladder cancer patients based on the primary tumors' gene-expression profiles.
机译:评价:史密斯SC,巴拉斯,Dancik G等。膀胱癌分子结节分期的20基因模型:发展与前瞻性评估。柳叶刀肉甘蓝。 12,137-143(2011)。准确鉴定膀胱癌患者的节点状况对于确定其预后和围手术期化疗施用是重要的。在本文中,我们通过史密斯及其同事审查该研究,记录了一种20-基因模型,该模型可以根据其原发性肿瘤的谱预测膀胱癌患者的节点阶段。本研究中产生的基因表达模型能够基于在III期膀胱癌试验队列中的患者获得的肿瘤组织来鉴定节点阳性疾病。该模型能够预测与标准临床病理预后标准无关的节点状态。该研究将无症状分析尺寸添加到已试图确定基于原发性肿瘤的基因表达型材预测膀胱癌患者中节点转移的分子鉴定的现有研究。

著录项

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  • 作者

    Mitra AP; Cote RJ;

  • 作者单位

    University of Southern California Keck School of Medicine Center for Personalized Medicine 4650 Sunset Blvd SRT 1014 Los Angeles CA 90027 USA.;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 肿瘤学;
  • 关键词

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