Suppr超能文献

当前及未来病理学家对乳腺癌靶向治疗评估的方法

Current and future approach to the pathologist's assessment for targeted therapy in breast cancer.

作者信息

Pakkiri Pria, Lakhani Sunil R, Smart Chanel E

机构信息

School of Medicine, The University of Queensland, Queensland, Australia.

出版信息

Pathology. 2009 Jan;41(1):89-99. doi: 10.1080/00313020802563551.

Abstract

Breast cancer is a common disease in the population. Contrary to public perception, it is a heterogeneous disease with varying morphology, prognosis and response to therapy. The pathological analysis is at the heart of information provided to surgeons and oncologists to plan further management. The pathologist is increasingly asked to test for biomarkers that provide prognostic and predictive information to direct treatment. Staining cancers for ER, PgR and HER2 has become routine and it is likely that addition of other biomarkers including 'basal markers', VEGF and growth factor receptors such as HER1 (EGFR) will soon follow. Microarray based genomic, transcription and proteomic methods are changing our classification systems and identifying novel targets for the development of new therapeutics. It is important for pathologists to appreciate and embrace the new developments as they will impact on daily clinical practice and require accurate assessment of biomarkers to determine treatment options as part of multidisciplinary teams.

摘要

乳腺癌是一种常见疾病。与公众认知相反,它是一种异质性疾病,具有不同的形态、预后和对治疗的反应。病理分析是为外科医生和肿瘤学家提供信息以规划进一步治疗的核心。病理学家越来越多地被要求检测生物标志物,这些标志物可提供预后和预测信息以指导治疗。对癌症进行雌激素受体(ER)、孕激素受体(PgR)和人表皮生长因子受体2(HER2)染色已成为常规操作,并且很可能不久之后会增加其他生物标志物的检测,包括“基底标志物”、血管内皮生长因子(VEGF)以及诸如人表皮生长因子受体1(HER1,即表皮生长因子受体(EGFR))等生长因子受体。基于微阵列的基因组学、转录组学和蛋白质组学方法正在改变我们的分类系统,并为开发新疗法确定新的靶点。病理学家认识并接受这些新进展非常重要,因为它们将影响日常临床实践,并且作为多学科团队的一部分,需要准确评估生物标志物以确定治疗方案。

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