• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

新一代乳腺癌分子预后和预测检测

New generation of molecular prognostic and predictive tests for breast cancer.

作者信息

Pusztai Lajos, Cristofanilli Massimo, Paik Soonmyung

机构信息

Department of Breast Medical Oncology, The University of Texas, M. D. Anderson Cancer Center, Houston, TX 77230-1439, USA.

出版信息

Semin Oncol. 2007 Apr;34(2 Suppl 3):S10-6. doi: 10.1053/j.seminoncol.2007.03.015.

DOI:10.1053/j.seminoncol.2007.03.015
PMID:17512431
Abstract

Breast cancer is a clinically heterogeneous disease, and it is generally accepted that the different clinical courses of patients with histologically similar tumors are due to molecular differences among cancers. Therefore, detailed molecular analysis of the cancer could yield prognostic information. Recent advances in molecular analytical techniques have led to rapid expansion of novel diagnostics designed to personalize breast cancer care. Diagnostic companies are also increasingly adopting a clinical trial-based approach to develop their products. This article reviews some of the most important advances in this field in the past few years, including the emergence of several multigene and prognostic predictors, as well as methods allowing enumeration of circulating tumor cells that are currently offered as commercially available diagnostic assays.

摘要

乳腺癌是一种临床异质性疾病,人们普遍认为,组织学上相似的肿瘤患者具有不同的临床病程是由于癌症之间的分子差异所致。因此,对癌症进行详细的分子分析可以产生预后信息。分子分析技术的最新进展导致了旨在实现乳腺癌个性化治疗的新型诊断方法迅速增加。诊断公司也越来越多地采用基于临床试验的方法来开发其产品。本文回顾了过去几年该领域的一些最重要进展,包括几种多基因和预后预测指标的出现,以及目前作为商业诊断检测方法提供的循环肿瘤细胞计数方法。

相似文献

1
New generation of molecular prognostic and predictive tests for breast cancer.新一代乳腺癌分子预后和预测检测
Semin Oncol. 2007 Apr;34(2 Suppl 3):S10-6. doi: 10.1053/j.seminoncol.2007.03.015.
2
Current status of prognostic profiling in breast cancer.乳腺癌预后分析的现状
Oncologist. 2008 Apr;13(4):350-60. doi: 10.1634/theoncologist.2007-0216.
3
Commercialized multigene predictors of clinical outcome for breast cancer.用于乳腺癌临床结局的商业化多基因预测指标
Oncologist. 2008 May;13(5):477-93. doi: 10.1634/theoncologist.2007-0248.
4
Multigene classifiers, prognostic factors, and predictors of breast cancer clinical outcome.多基因分类器、乳腺癌临床结局的预后因素及预测指标。
Adv Anat Pathol. 2009 Jul;16(4):204-15. doi: 10.1097/PAP.0b013e3181a9d4bf.
5
Multiple biomarkers in molecular oncology. II. Molecular diagnostics applications in breast cancer management.分子肿瘤学中的多种生物标志物。II. 分子诊断在乳腺癌管理中的应用。
Expert Rev Mol Diagn. 2007 May;7(3):269-80. doi: 10.1586/14737159.7.3.269.
6
Molecular classification of breast cancer: limitations and potential.乳腺癌的分子分类:局限性与潜力
Oncologist. 2006 Sep;11(8):868-77. doi: 10.1634/theoncologist.11-8-868.
7
Microarray-based gene expression profiling as a clinical tool for breast cancer management: are we there yet?基于微阵列的基因表达谱分析作为乳腺癌管理的临床工具:我们做到了吗?
Int J Surg Pathol. 2009 Aug;17(4):285-302. doi: 10.1177/1066896908328577. Epub 2008 Dec 22.
8
The use of gene-expression profiling to better understand the clinical heterogeneity of estrogen receptor positive breast cancers and tamoxifen response.利用基因表达谱分析以更好地理解雌激素受体阳性乳腺癌的临床异质性及他莫昔芬反应。
Crit Rev Oncol Hematol. 2007 Mar;61(3):187-94. doi: 10.1016/j.critrevonc.2006.09.005. Epub 2006 Nov 7.
9
A candidate molecular signature associated with tamoxifen failure in primary breast cancer.一种与原发性乳腺癌中他莫昔芬治疗失败相关的候选分子特征。
Breast Cancer Res. 2008;10(5):R88. doi: 10.1186/bcr2158. Epub 2008 Oct 17.
10
Breast cancer molecular subtypes in patients with locally advanced disease: impact on prognosis, patterns of recurrence, and response to therapy.局部晚期疾病患者的乳腺癌分子亚型:对预后、复发模式及治疗反应的影响
Semin Radiat Oncol. 2009 Oct;19(4):204-10. doi: 10.1016/j.semradonc.2009.05.004.

引用本文的文献

1
[Breast cancer in Morocco: phenotypic profile of tumors].[摩洛哥的乳腺癌:肿瘤的表型特征]
Pan Afr Med J. 2016 Oct 6;25:74. doi: 10.11604/pamj.2016.25.74.9966. eCollection 2016.
2
Gene expression profiles of NO- and HNO-donor treated breast cancer cells: insights into tumor response and resistance pathways.一氧化氮和一氧化氢供体处理的乳腺癌细胞的基因表达谱:对肿瘤反应和耐药途径的见解
Nitric Oxide. 2014 Dec 1;43:17-28. doi: 10.1016/j.niox.2014.08.003. Epub 2014 Aug 19.
3
A pathway-based classification of breast cancer integrating data on differentially expressed genes, copy number variations and microRNA target genes.
基于通路的乳腺癌分类方法,综合了差异表达基因、拷贝数变异和 microRNA 靶基因的数据。
Mol Cells. 2012 Oct;34(4):393-8. doi: 10.1007/s10059-012-0177-0. Epub 2012 Sep 13.
4
Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile.基于微阵列的模型对临床结果的预测能力最大程度上受到终点和基因表达谱之间相关性的限制。
BMC Genomics. 2011 Dec 23;12 Suppl 5(Suppl 5):S3. doi: 10.1186/1471-2164-12-S5-S3.
5
Protein expression profile and prevalence pattern of the molecular classes of breast cancer--a Saudi population based study.乳腺癌分子类型的蛋白表达谱和流行模式——基于沙特人群的研究。
BMC Cancer. 2010 May 21;10:223. doi: 10.1186/1471-2407-10-223.
6
Advances in breast cancer: pathways to personalized medicine.乳腺癌的进展:个性化医疗之路
Clin Cancer Res. 2008 Dec 15;14(24):7988-99. doi: 10.1158/1078-0432.CCR-08-1211.
7
Minireview: nuclear receptors and breast cancer.综述:核受体与乳腺癌
Mol Endocrinol. 2008 Oct;22(10):2215-28. doi: 10.1210/me.2007-0421. Epub 2008 Apr 16.