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Programmed cell death 6 interacting protein (PDCD6IP) and Rabenosyn-5 (ZFYVE20) are potential urinary biomarkers for upper gastrointestinal cancer

机译:编程的细胞死亡6相互作用蛋白质(PDCD6IP)和rabenosyn-5(ZFYVE20)是上胃肠癌的潜在尿生物标志物

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摘要

PURPOSE: ududCancer of the upper digestive tract (uGI) is a major contributor to cancer-related death worldwide. Due to a rise in occurrence, together with poor survival rates and a lack of diagnostic or prognostic clinical assays, there is a clear need to establish molecular biomarkers.ududEXPERIMENTAL DESIGN: ududInitial assessment was performed on urine samples from 60 control and 60 uGI cancer patients using MS to establish a peak pattern or fingerprint model, which was validated by a further set of 59 samples.ududRESULTS: ududWe detected 86 cluster peaks by MS above frequency and detection thresholds. Statistical testing and model building resulted in a peak profiling model of five relevant peaks with 88% overall sensitivity and 91% specificity, and overall correctness of 90%. High-resolution MS of 40 samples in the 2-10 kDa range resulted in 646 identified proteins, and pattern matching identified four of the five model peaks within significant parameters, namely programmed cell death 6 interacting protein (PDCD6IP/Alix/AIP1), Rabenosyn-5 (ZFYVE20), protein S100A8, and protein S100A9, of which the first two were validated by Western blotting.ududCONCLUSIONS AND CLINICAL RELEVANCE: ududWe demonstrate that MS analysis of human urine can identify lead biomarker candidates in uGI cancers, which makes this technique potentially useful in defining and consolidating biomarker patterns for uGI cancer screening.
机译:目的: ud ud上消化道癌(uGI)是导致全球癌症相关死亡的主要因素。由于发病率上升,存活率低以及缺乏诊断或预后的临床检测方法,显然需要建立分子生物标志物。 ud ud实验设计: ud ud对60例尿液样本进行了初步评估对照和60名uGI癌症患者使用MS建立峰模式或指纹模型,并通过另一组59个样品进行了验证。 ud ud结果: ud ud我们通过MS在频率和检测阈值以上检测到86个簇峰。统计测试和模型构建产生了五个相关峰的峰分析模型,总灵敏度为88%,特异性为91%,总正确度为90%。高分辨率质谱分析了2-10 kDa范围内的40个样品,产生了646种已鉴定的蛋白质,并且模式匹配鉴定了在重要参数内的五个模型峰中的四个,即程序性细胞死亡6种相互作用蛋白(PDCD6IP / Alix / AIP1),Rabenosyn -5(ZFYVE20),蛋白S100A8和蛋白S100A9,其中前两个蛋白已通过Western印迹验证。 ud ud结论和临床意义: ud ud我们证明了人尿液的MS分析可以识别uGI中的主要生物标志物候选物癌症,这使得该技术可能在定义和巩固用于uGI癌症筛查的生物标志物模式中有用。

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