Department of Urology, University Hospitals Jena, Lessingstraße 1, 07743 Jena, Germany.
Arch Physiol Biochem. 2010 Oct-Dec;116(4-5):197-207. doi: 10.3109/13813455.2010.513392. Epub 2010 Sep 14.
Systemic treatment of metastatic renal cell carcinoma (mRCC) with targeted therapies became widely accepted; however, there are few patients who greatly benefit from immunochemotherapy (ICT). It is crucial to recognize these patients for individual treatment.
Definition of protein patterns in tissue and serum from mRCC-patients to predict benefit from ICT.
Twenty-five tissue samples and 59 sera were analysed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). Protein peaks of interest were identified by 2D-PAGE and peptide mass fingerprinting. Validation was carried out by Western Blot and ELISA.
Protein patterns associated with therapy response were determined. Caveolin-1 (CAV-1) and plasminogen activator inhibitor 1 (PAI-1) were identified in tissue; serum amyloid A (SAA) and transthyretin (TTR) were found in serum.
Individual prediction of therapy benefit and selecting patients for ICT based on molecular biological profiles appear to be feasible in the future.
转移性肾细胞癌(mRCC)的系统治疗采用靶向疗法已被广泛接受;然而,只有少数患者从免疫化疗(ICT)中获益显著。识别这些患者并进行个体化治疗至关重要。
定义 mRCC 患者组织和血清中的蛋白质图谱,以预测 ICT 的获益。
采用表面增强激光解吸/电离飞行时间质谱(SELDI-TOF MS)分析 25 个组织样本和 59 个血清样本。通过二维电泳和肽质量指纹图谱鉴定有意义的蛋白峰。采用 Western blot 和 ELISA 进行验证。
确定了与治疗反应相关的蛋白质图谱。组织中鉴定出窖蛋白 1(CAV-1)和纤溶酶原激活物抑制剂 1(PAI-1);血清中发现血清淀粉样蛋白 A(SAA)和转甲状腺素蛋白(TTR)。
未来基于分子生物学特征对治疗获益进行个体化预测,并为 ICT 选择患者似乎是可行的。