H. Lee Moffitt Cancer Center, Tampa, FL, USA.
Molecular Oncology/Pathology, Moffitt Cancer Center, Tampa, FL, USA.
Methods Mol Biol. 2024;2823:193-223. doi: 10.1007/978-1-0716-3922-1_13.
Archived tumor specimens are routinely preserved by formalin fixation and paraffin embedding. Despite the conventional wisdom that proteomics might be ineffective due to the cross-linking and pre-analytical variables, these samples have utility for both discovery and targeted proteomics. Building on this capability, proteomics approaches can be used to maximize our understanding of cancer biology and clinical relevance by studying preserved tumor tissues annotated with the patients' medical histories. Proteomics of formalin-fixed paraffin-embedded (FFPE) tissues also integrates with histological evaluation and molecular pathology strategies, so that additional collection of research biopsies or resected tumor aliquots is not needed. The acquisition of data from the same tumor sample also overcomes concerns about biological variation between samples due to intratumoral heterogeneity. However, the protein extraction and proteomics sample preparation from FFPE samples can be onerous, particularly for small (i.e., limited or precious) samples. Therefore, we provide a protocol for a recently introduced kit-based EasyPep method with benchmarking against a modified version of the well-established filter-aided sample preparation strategy using laser-capture microdissected lung adenocarcinoma tissues from a genetically engineered mouse model. This model system allows control over the tumor preparation and pre-analytical variables while also supporting the development of methods for spatial proteomics to examine intratumoral heterogeneity. Data are posted in ProteomeXchange (PXD045879).
存档的肿瘤标本通常通过福尔马林固定和石蜡包埋来保存。尽管常规观点认为蛋白质组学可能由于交联和分析前变量而无效,但这些样本对于发现和靶向蛋白质组学都具有实用性。基于这种能力,通过研究带有患者病史注释的保存的肿瘤组织,蛋白质组学方法可用于最大程度地了解癌症生物学和临床相关性。福尔马林固定石蜡包埋(FFPE)组织的蛋白质组学也与组织学评估和分子病理学策略相结合,因此不需要额外收集研究性活检或切除的肿瘤等分试样。从同一肿瘤样本中获取数据也克服了由于肿瘤内异质性导致的样本之间生物学变异的担忧。然而,从 FFPE 样本中提取蛋白质和进行蛋白质组学样品制备可能很繁琐,特别是对于小样本(即有限或珍贵的样本)。因此,我们提供了一种基于最近推出的试剂盒的 EasyPep 方法的方案,并与使用遗传工程小鼠模型的激光捕获微切割肺腺癌组织的改良版广泛使用的过滤辅助样品制备策略进行了基准测试。该模型系统允许控制肿瘤准备和分析前变量,同时还支持开发用于检查肿瘤内异质性的空间蛋白质组学方法。数据已在 ProteomeXchange (PXD045879) 上发布。