Department of Pathology, Academic Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands,
Virchows Arch. 2014 Mar;464(3):283-91. doi: 10.1007/s00428-014-1539-0. Epub 2014 Feb 1.
In early breast cancer, prognostic tests are used to guide decisions on adjuvant systemic hormonal therapy, chemotherapy and targeted therapy treatment. This has led to large research efforts to identify novel prognostic markers in breast cancer. At present, the tissue factors used to guide treatment of breast cancer patients are tumor size, lymph node status, histologic grade, ER status, PR status, and HER2 status; in addition, multigene-expression-based prognostic tests are rapidly emerging. While identification of prognostic gene expression profiles has been successful, it has not been possible yet to identify robust clinically useful predictors of response to systemic treatment. As a result of rapid advances in technology and bioinformatics, it has become possible to analyze large series of breast carcinomas using high-throughput genetic techniques, including whole genome sequence analysis and gene expression profiling. These genomic studies will lead to the development of additional prognostic and predictive tissue-based tests. The most important aspects of the currently used tissue-based prognostic and predictive tests and the research in this area are reviewed.
在早期乳腺癌中,预后检测用于指导辅助全身激素治疗、化疗和靶向治疗的决策。这导致了大量的研究努力,以确定乳腺癌的新的预后标志物。目前,用于指导乳腺癌患者治疗的组织因素包括肿瘤大小、淋巴结状态、组织学分级、ER 状态、PR 状态和 HER2 状态;此外,基于多基因表达的预后检测也在迅速出现。虽然已经成功确定了预后基因表达谱,但尚未能够确定对全身治疗反应的稳健临床有用预测因子。由于技术和生物信息学的快速进步,现在已经可以使用高通量遗传技术(包括全基因组序列分析和基因表达谱分析)分析大量的乳腺癌。这些基因组研究将导致额外的预后和预测组织检测的发展。目前使用的组织预后和预测检测的最重要方面以及该领域的研究都进行了综述。