首页> 外文期刊>Current opinion in obstetrics & gynecology >Molecular profiling of breast cancer.
【24h】

Molecular profiling of breast cancer.

机译:乳腺癌的分子特征分析。

获取原文
获取原文并翻译 | 示例
       

摘要

PURPOSE OF REVIEW: This review is a comprehensive survey of molecular-profiling literature published since 2004. RECENT FINDINGS: More microarray-based gene-expression profiles that are prognostic for breast cancer have been published, strengthening the possibility that the microarray gene-expression profile may indeed provide clinically meaningful results. Requirement for snap-frozen tissue, however, will continue to be a limiting factor in clinical application. Results from a multicenter validation study were less spectacular than the original findings. A prognostic model based on classical markers performed well in a comparative study. Further clinical validation, with a large sample size, is needed. A prognostic gene-expression profile of 21 genes, which can be assayed using routinely processed formalin-fixed paraffin-embedded tumor tissue, has been introduced and this assay has also been shown to correlate with degree of benefit from chemotherapy. Two large clinical trials to validate gene-expression-based assays are to be launched in North America (TAILORx) and the European Union (MINDACCT). The usefulness of these genomic tools is still being debated, because clinicopathologic factors also are still important. SUMMARY: Gene-expression-based prognostic tests are now available as commercial reference laboratory tests. Their successful implementation will depend on the seamless integration with existing clinicopathologic markers.
机译:综述的目的:本综述是对2004年以来发表的分子谱研究文献的全面综述。最近发现:已经发表了更多的可预测乳腺癌的基于微阵列的基因表达谱,从而增强了微阵列基因表达谱的可能性确实可以提供具有临床意义的结果。然而,对速冻组织的需求将继续成为临床应用中的限制因素。多中心验证研究的结果不如原始结果那么壮观。在比较研究中,基于经典标记的预后模型表现良好。需要更大样本量的进一步临床验证。已经介绍了21个基因的预后基因表达谱,可以使用常规处理的福尔马林固定石蜡包埋的肿瘤组织进行分析,该分析也显示与化疗的获益程度相关。将在北美(TAILORx)和欧盟(MINDACCT)进行两项大型临床试验,以验证基于基因表达的试验。这些基因组工具的实用性仍在争论中,因为临床病理因素也仍然很重要。简介:基于基因表达的预后测试现在可以作为商业参考实验室测试。它们的成功实施将取决于与现有临床病理标记物的无缝整合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号