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尿液液体活检的 RNA 和代谢物综合分析用于前列腺癌生物标志物的发现。

Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery.

机构信息

Cancer and Blood Disorders Institute, Johns Hopkins All Children's Hospital, 600 6th Avenue South, St. Petersburg, FL, 33701, USA.

Department Pathology, Immunology and Laboratory Medicine, University of Florida, College of Medicine, 1395 Center Drive, Gainesville, FL, 32610, USA.

出版信息

Sci Rep. 2020 Feb 28;10(1):3716. doi: 10.1038/s41598-020-60616-z.

Abstract

Sensitive and specific diagnostic and prognostic biomarkers for prostate cancer (PCa) are urgently needed. Urine samples are a non-invasive means to obtain abundant and readily accessible "liquid biopsies". Herein we used urine liquid biopsies to identify and characterize a novel group of urine-enriched RNAs and metabolites in patients with PCa and normal individuals with or without benign prostatic disease. Differentially expressed RNAs were identified in urine samples by deep sequencing and metabolites in urine were measured by mass spectrometry. mRNA and metabolite profiles were distinct in patients with benign and malignant disease. Integrated analysis of urinary gene expression and metabolite signatures unveiled an aberrant glutamate metabolism and tricarboxylic acid (TCA) cycle node in prostate cancer-derived cells. Functional validation supported a role for glutamate metabolism and glutamate oxaloacetate transaminase 1 (GOT1)-dependent redox balance in PCa, which could be exploited for novel biomarkers and therapies. In this study, we discovered cancer-specific changes in urinary RNAs and metabolites, paving the way for the development of sensitive and specific urinary PCa diagnostic biomarkers either alone or in combination. Our methodology was based on single void urine samples (i.e., without prostatic massage). The integrated analysis of metabolomic and transcriptomic data from these liquid biopsies revealed a glutamate metabolism and tricarboxylic acid cycle node that was specific to prostate-derived cancer cells and cancer-specific metabolic changes in urine.

摘要

我们迫切需要用于前列腺癌(PCa)的灵敏且特异的诊断和预后生物标志物。尿液样本是一种非侵入性手段,可获取丰富且易于获得的“液体活检”。在此,我们使用尿液液体活检来鉴定和描述 PCa 患者和伴有或不伴有良性前列腺疾病的正常个体的新型尿液富集 RNA 和代谢物。通过深度测序鉴定尿液样本中的差异表达 RNA,通过质谱法测量尿液中的代谢物。良性和恶性疾病患者的 mRNA 和代谢物图谱明显不同。尿液基因表达和代谢物特征的综合分析揭示了前列腺癌来源的细胞中谷氨酸代谢和三羧酸(TCA)循环节点的异常。功能验证支持谷氨酸代谢和谷氨酸草酰乙酸转氨酶 1(GOT1)依赖性氧化还原平衡在 PCa 中的作用,这可用于开发新的生物标志物和疗法。在这项研究中,我们发现了尿液 RNA 和代谢物中的癌症特异性变化,为开发单独或联合使用的灵敏且特异的尿液 PCa 诊断生物标志物铺平了道路。我们的方法基于单次排空的尿液样本(即,未经前列腺按摩)。这些液体活检的代谢组学和转录组学数据的综合分析显示了特定于前列腺来源的癌细胞的谷氨酸代谢和 TCA 循环节点,以及尿液中的癌症特异性代谢变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a036/7048821/379ab11ef0e9/41598_2020_60616_Fig1_HTML.jpg

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