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代谢组学与转录组学的整合揭示了前列腺癌中的主要代谢途径及潜在生物标志物。

Integration of Metabolomics and Transcriptomics Reveals Major Metabolic Pathways and Potential Biomarker Involved in Prostate Cancer.

作者信息

Ren Shancheng, Shao Yaping, Zhao Xinjie, Hong Christopher S, Wang Fubo, Lu Xin, Li Jia, Ye Guozhu, Yan Min, Zhuang Zhengping, Xu Chuanliang, Xu Guowang, Sun Yinghao

机构信息

From the ‡Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China.

§Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 116023 Dalian, China.

出版信息

Mol Cell Proteomics. 2016 Jan;15(1):154-63. doi: 10.1074/mcp.M115.052381. Epub 2015 Nov 6.

Abstract

Prostate cancer is a highly prevalent tumor affecting millions of men worldwide, but poor understanding of its pathogenesis has limited effective clinical management of patients. In addition to transcriptional profiling or transcriptomics, metabolomics is being increasingly utilized to discover key molecular changes underlying tumorigenesis. In this study, we integrated transcriptomics and metabolomics to analyze 25 paired human prostate cancer tissues and adjacent noncancerous tissues, followed by further validation of our findings in an additional cohort of 51 prostate cancer patients and 16 benign prostatic hyperplasia patients. We found several altered pathways aberrantly expressed at both metabolic and transcriptional levels, including cysteine and methionine metabolism, nicotinamide adenine dinucleotide metabolism, and hexosamine biosynthesis. Additionally, the metabolite sphingosine demonstrated high specificity and sensitivity for distinguishing prostate cancer from benign prostatic hyperplasia, particularly for patients with low prostate specific antigen level (0-10 ng/ml). We also found impaired sphingosine-1-phosphate receptor 2 signaling, downstream of sphingosine, representing a loss of tumor suppressor gene and a potential key oncogenic pathway for therapeutic targeting. By integrating metabolomics and transcriptomics, we have provided both a broad picture of the molecular perturbations underlying prostate cancer and a preliminary study of a novel metabolic signature, which may help to discriminate prostate cancer from normal tissue and benign prostatic hyperplasia.

摘要

前列腺癌是一种高度常见的肿瘤,影响着全球数百万男性,但对其发病机制的了解不足限制了对患者的有效临床管理。除了转录谱分析或转录组学外,代谢组学正越来越多地用于发现肿瘤发生背后的关键分子变化。在本研究中,我们整合了转录组学和代谢组学,分析了25对人前列腺癌组织和相邻的非癌组织,随后在另外51名前列腺癌患者和16名良性前列腺增生患者队列中进一步验证了我们的发现。我们发现了几条在代谢和转录水平均异常表达的改变途径,包括半胱氨酸和甲硫氨酸代谢、烟酰胺腺嘌呤二核苷酸代谢和己糖胺生物合成。此外,代谢物鞘氨醇在区分前列腺癌和良性前列腺增生方面表现出高特异性和敏感性,特别是对于前列腺特异性抗原水平较低(0-10 ng/ml)的患者。我们还发现鞘氨醇下游的鞘氨醇-1-磷酸受体2信号受损,这代表肿瘤抑制基因的缺失以及一个潜在的关键致癌途径,可作为治疗靶点。通过整合代谢组学和转录组学,我们既提供了前列腺癌潜在分子扰动的全貌,又对一种新的代谢特征进行了初步研究,这可能有助于区分前列腺癌与正常组织和良性前列腺增生。

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