Dokuz Eylul University, Institute of Oncology, 35340 Inciraltı, Izmir, Turkey.
Curr Genomics. 2010 Nov;11(7):528-36. doi: 10.2174/138920210793175930.
Despite the lifetimes that increased in breast cancers due to the the early screening programs and new therapeutic strategies, many cases still are being lost due to the metastatic relapses. For this reason, new approaches such as the proteomic techniques have currently become the prime objectives of breast cancer researches. Various omic-based techniques have been applied with increasing success to the molecular characterisation of breast tumours, which have resulted in a more detailed classification scheme and have produced clinical diagnostic tests that have been applied to both the prognosis and the prediction of outcome to the treatment. Implementation of the proteomics-based techniques is also seen as crucial if we are to develop a systems biology approach in the discovery of biomarkers of the early diagnosis, prognosis and prediction of the outcome of the breast cancer therapies. In this review, we discuss the studies that have been conducted thus far, for the discovery of diagnostic, prognostic and predictive biomarkers, and evaluate the potential of the discriminating proteins identified in this research for clinical use as breast cancer biomarkers.
尽管早期筛查计划和新的治疗策略使乳腺癌患者的寿命延长,但由于转移性复发,仍有许多患者死亡。出于这个原因,新的方法,如蛋白质组学技术,目前已成为乳腺癌研究的主要目标。各种基于组学的技术已被越来越多地应用于乳腺癌肿瘤的分子特征描述,这导致了更详细的分类方案,并产生了临床诊断测试,已应用于预后和预测治疗结果。如果我们要在早期诊断、预后和预测乳腺癌治疗结果的生物标志物的发现中采用基于系统生物学的方法,那么实施基于蛋白质组学的技术也被视为关键。在这篇综述中,我们讨论了迄今为止为发现诊断、预后和预测生物标志物而进行的研究,并评估了该研究中鉴定的有区分能力的蛋白质作为乳腺癌生物标志物在临床应用中的潜力。