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乳腺癌基因谱分析:是时候向前迈进了。

Gene profiling in breast cancer: time to move forward.

机构信息

Service of Oncology, Hospital La Paz & Instituto de Investigación Sanitaria IdiPAZ, Paseo de la Castellana, Madrid, Spain.

出版信息

Cancer Treat Rev. 2011 Oct;37(6):416-21. doi: 10.1016/j.ctrv.2010.12.009. Epub 2011 Feb 1.

DOI:10.1016/j.ctrv.2010.12.009
PMID:21277684
Abstract

Gene signatures may complement clinical and pathological factors to predict prognosis and response to therapy in patients with breast cancer, and can also sub-classify these tumours into entities with different biology and treatment requirements. A number of prognostic gene signatures are commercially available at this moment and two of them have entered phase III evaluation. Specific signatures are also being assessed to predict response to a number of drug therapies. The combined use of prognostic, predictive and subtype-defining signatures will guide therapeutic decisions in the future and will facilitate development of targeted drugs in specific groups of patients. However, cost-utility issues and some technical limitations have hindered widespread adoption of gene profiling. Gene signatures will become part of the routine clinical workup only if they help making clinical decisions. The first step to achieve this will consist of the inclusion of gene signatures in the design of clinical trials with new drugs.

摘要

基因标志物可以补充临床和病理因素,以预测乳腺癌患者的预后和对治疗的反应,也可以将这些肿瘤进一步细分为具有不同生物学和治疗需求的实体。目前有许多预后基因标志物已商业化,其中有两个已进入 III 期评估。还在评估特定的标志物来预测对多种药物治疗的反应。预后、预测和亚型定义标志物的联合使用将指导未来的治疗决策,并有助于在特定患者群体中开发靶向药物。然而,成本效益问题和一些技术限制阻碍了基因谱分析的广泛应用。只有当基因标志物有助于做出临床决策时,它们才会成为常规临床检查的一部分。实现这一目标的第一步将包括在新药临床试验的设计中纳入基因标志物。

相似文献

1
Gene profiling in breast cancer: time to move forward.乳腺癌基因谱分析:是时候向前迈进了。
Cancer Treat Rev. 2011 Oct;37(6):416-21. doi: 10.1016/j.ctrv.2010.12.009. Epub 2011 Feb 1.
2
Prognostic applications of gene expression signatures in breast cancer.基因表达谱在乳腺癌中的预后应用。
Oncology. 2009;77 Suppl 1:2-8. doi: 10.1159/000258489. Epub 2010 Feb 2.
3
The present and future of gene profiling in breast cancer.乳腺癌基因谱分析的现状与未来。
Cancer Metastasis Rev. 2012 Jun;31(1-2):41-6. doi: 10.1007/s10555-011-9327-7.
4
Gene expression profiling in breast cancer: towards individualising patient management.乳腺癌中的基因表达谱分析:迈向个体化患者管理
Pathology. 2005 Aug;37(4):271-7. doi: 10.1080/00313020500169586.
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Use of standard markers and incorporation of molecular markers into breast cancer therapy: Consensus recommendations from an International Expert Panel.使用标准标志物并将分子标志物纳入乳腺癌治疗:国际专家小组的共识建议。
Cancer. 2011 Apr 15;117(8):1575-82. doi: 10.1002/cncr.25660. Epub 2010 Nov 29.
6
Gene expression profiling in breast cancer.乳腺癌中的基因表达谱分析
Curr Opin Oncol. 2007 Nov;19(6):547-51. doi: 10.1097/CCO.0b013e3282f0ada3.
7
Genomic strategies for personalized cancer therapy.个性化癌症治疗的基因组策略。
Hum Mol Genet. 2007 Oct 15;16 Spec No. 2:R226-32. doi: 10.1093/hmg/ddm184.
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Review of gene-expression profiling and its clinical use in breast cancer.乳腺癌基因表达谱分析及其临床应用综述。
Crit Rev Oncol Hematol. 2009 Jan;69(1):1-11. doi: 10.1016/j.critrevonc.2008.05.004. Epub 2008 Jul 9.
9
When will tumor gene expression profiling be incorporated into clinical breast cancer decision making?肿瘤基因表达谱分析何时会被纳入临床乳腺癌决策制定中?
Breast Cancer Res. 2006;8(4):302. doi: 10.1186/bcr1519.
10
Gene expression profiles of breast cancer obtained from core cut biopsies before neoadjuvant docetaxel, adriamycin, and cyclophoshamide chemotherapy correlate with routine prognostic markers and could be used to identify predictive signatures.在新辅助多西他赛、阿霉素和环磷酰胺化疗前,通过粗针活检获得的乳腺癌基因表达谱与常规预后标志物相关,可用于识别预测性特征。
Zentralbl Gynakol. 2006 Apr;128(2):76-81. doi: 10.1055/s-2006-921508.

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A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling.一种通用的循环低氧衍生的预后基因特征:在乳腺癌分析中的应用。
Oncotarget. 2014 Aug 30;5(16):6947-63. doi: 10.18632/oncotarget.2285.
2
Lectin chromatography/mass spectrometry discovery workflow identifies putative biomarkers of aggressive breast cancers.凝集素色谱/质谱发现工作流程鉴定侵袭性乳腺癌的潜在生物标志物。
J Proteome Res. 2012 Apr 6;11(4):2508-20. doi: 10.1021/pr201206w. Epub 2012 Mar 13.
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αB-crystallin, an effector of unfolded protein response, confers anti-VEGF resistance to breast cancer via maintenance of intracrine VEGF in endothelial cells.
αB-晶状体蛋白作为未折叠蛋白反应的效应物,通过维持内皮细胞内源性 VEGF 来赋予乳腺癌抗 VEGF 耐药性。
Mol Cancer Res. 2011 Dec;9(12):1632-43. doi: 10.1158/1541-7786.MCR-11-0327. Epub 2011 Oct 7.