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Quantitative proteomic analysis of optimal cutting temperature (OCT) embedded core-needle biopsy of lung cancer

机译:肺癌最佳切削温度(OCT)嵌入式芯针活检的定量蛋白质组学分析

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摘要

With recent advances in understanding the genomic underpinnings and oncogenic drivers of pathogenesis in different subtypes, it is increasingly clear that proper pre-treatment diagnostics are essential for the choice of appropriate treatment options for non-small cell lung cancer (NSCLC). Tumor tissue preservation in optimal cutting temperature (OCT) compound is commonly used in the surgical suite. However, proteins recovered from OCT embedded specimens pose a challenge for LC-MS/MS experiments, due to the large amounts of polymers present in OCT. Here we present a simple workflow for whole proteome analysis of OCT-embedded NSCLC tissue samples, which involves a simple trichloroacetic acid precipitation step. Comparisons of protein recovery between frozen versus OCT embedded tissue showed excellent consistency with more than 9,200 proteins identified. Using an isobaric labeling strategy, we quantified more than 5,400 proteins in tumor versus normal OCT-embedded core needle biopsy samples. Gene Ontology analysis indicated that a number of proliferative as well as SqCC (squamous cell carcinoma) marker proteins were overexpressed in the tumor, consistent with the patient’s pathology based diagnosis of “poorly differentiated SqCC”. Among the most downregulated proteins in the tumor sample, we noted a number of proteins with potential immunomodulatory functions. Finally, interrogation of the aberrantly expressed proteins using a candidate approach and cross-referencing with publically available databases led to the identification of potential druggable targets in DNA replication and DNA damage repair pathways. We conclude that our approach allows LC-MS/MS proteomic analyses on OCT-embedded lung cancer specimens, opening the way to bring powerful proteomics into the clinic.
机译:随着了解不同亚型的基因组基础和发病机理的致癌驱动因素的最新进展,越来越清楚的是,正确的治疗前诊断对于选择非小细胞肺癌(NSCLC)的合适治疗选择至关重要。在最佳手术温度(OCT)化合物中保存肿瘤组织通常用于手术室。但是,由于OCT中存在大量聚合物,因此从OCT嵌入标本中回收的蛋白质对LC-MS / MS实验提出了挑战。在这里,我们提出了一个简单的工作流程,用于对整个OCT包埋的NSCLC组织样品进行整个蛋白质组分析,其中涉及一个简单的三氯乙酸沉淀步骤。冷冻组织和OCT组织之间的蛋白质回收率比较表明,已鉴定出9,200多种蛋白质,具有极好的一致性。使用同量异位标记策略,我们定量分析了与普通OCT包埋的核心针头活检样品相比的5400多种蛋白质。基因本体分析表明,许多增生性以及SqCC(鳞状细胞癌)标记蛋白在肿瘤中均过表达,这与患者基于病理学的“低分化SqCC”诊断相一致。在肿瘤样品中被最下调的蛋白质中,我们注意到许多具有潜在免疫调节功能的蛋白质。最后,使用候选方法对异常表达的蛋白质进行审讯,并与公开可用的数据库进行交叉引用,从而导致了DNA复制和DNA损伤修复途径中潜在的可药物靶向的鉴定。我们得出的结论是,我们的方法允许对包含OCT的肺癌标本进行LC-MS / MS蛋白质组学分析,从而为将强大的蛋白质组学带入临床开辟了道路。

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