The Breakthrough Breast Cancer Research Center, The Institute of Cancer Research, London, United Kingdom.
Int J Cancer. 2013 Jul;133(1):1-13. doi: 10.1002/ijc.27997. Epub 2013 Feb 8.
The higher incidence of breast cancer in developed countries has been tempered by reductions in mortality, largely attributable to mammographic screening programmes and advances in adjuvant therapy. Optimal systemic management requires consideration of clinical, pathological and biological parameters. Oestrogen receptor alpha (ERα), progesterone receptor (PgR) and human epidermal growth factor receptor 2 (HER2) are established biomarkers evaluated at diagnosis, which identify cardinal subtypes of breast cancer. Their prognostic and predictive utility effectively guides systemic treatment with endocrine, anti-HER2 and chemotherapy. Hence, accurate and reliable determination remains of paramount importance. However, the goals of personalized medicine and targeted therapies demand further information regarding residual risk and potential benefit of additional treatments in specific circumstances. The need for biomarkers which are fit for purpose, and the demands placed upon them, is therefore expected to increase. Technological advances, in particular high-throughput global gene expression profiling, have generated multi-gene signatures providing further prognostic and predictive information. The rational integration of routinely evaluated clinico-pathological parameters with key indicators of biological activity, such as proliferation markers, also provides a ready opportunity to improve the information available to guide systemic therapy decisions. The additional value of such information and its proper place in patient management is currently under evaluation in prospective clinical trials. Expanding the utility of biomarkers to lower resource settings requires an emphasis on cost effectiveness, quality assurance and possible international variations in tumor biology; the potential for improved clinical outcomes should be justified against logistical and economic considerations.
发达国家乳腺癌发病率较高,但由于乳腺 X 线筛查计划和辅助治疗的进步,死亡率有所下降。最佳的系统治疗需要考虑临床、病理和生物学参数。雌激素受体α(ERα)、孕激素受体(PgR)和人表皮生长因子受体 2(HER2)是在诊断时评估的既定生物标志物,可识别乳腺癌的主要亚型。它们的预后和预测效用有效地指导了内分泌、抗 HER2 和化疗的系统治疗。因此,准确可靠的测定仍然至关重要。然而,个性化医学和靶向治疗的目标要求在特定情况下进一步了解额外治疗的残余风险和潜在获益。因此,需要适合特定目的的生物标志物,并且对它们的要求也会增加。技术进步,特别是高通量全基因表达谱分析,已经产生了多基因标志物,提供了进一步的预后和预测信息。将常规评估的临床病理参数与生物学活性的关键指标(如增殖标志物)合理整合,也为改善指导系统治疗决策的信息提供了一个现成的机会。目前正在前瞻性临床试验中评估此类信息的附加价值及其在患者管理中的适当位置。为了降低资源环境的使用门槛,需要强调成本效益、质量保证以及肿瘤生物学方面可能存在的国际差异;应根据后勤和经济方面的考虑来证明改善临床结果的潜力。