Stadler Zsofia K, Come Steven E
Breast Cancer Program, Division of Hematology/Oncology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Crit Rev Oncol Hematol. 2009 Jan;69(1):1-11. doi: 10.1016/j.critrevonc.2008.05.004. Epub 2008 Jul 9.
Despite advances in the treatment of early-stage breast cancer, physicians still lack the ability to accurately predict which individual patients will relapse and would benefit from adjuvant chemotherapy. Traditional clinicopathologic factors are important in helping to determine risk of relapse, but do not fully account for the biologic complexity of breast cancer. Gene-expression profiling has provided us with insight into the heterogeneity of breast cancer and led to the development of prognostic and predictive molecular gene signature models designed to aid in clinical decision-making. However, it remains to be determined how much refinement in prognosis genomic models provide over standard clinicopathologic features and whether these refinements translate into improvements in clinical practice. On-going large prospective multi-center clinical trials will provide us with information regarding the clinical utility of two of these assays, but for now, implementation of these models into widespread clinical practice remains limited.
尽管早期乳腺癌的治疗取得了进展,但医生仍缺乏准确预测哪些个体患者会复发以及哪些患者将从辅助化疗中获益的能力。传统的临床病理因素在帮助确定复发风险方面很重要,但并不能完全解释乳腺癌的生物学复杂性。基因表达谱分析让我们深入了解了乳腺癌的异质性,并导致了旨在辅助临床决策的预后和预测分子基因特征模型的开发。然而,基因组预后模型相对于标准临床病理特征能提供多少改进,以及这些改进是否能转化为临床实践中的改善,仍有待确定。正在进行的大型前瞻性多中心临床试验将为我们提供有关其中两种检测方法临床实用性的信息,但目前,将这些模型广泛应用于临床实践的情况仍然有限。