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侵袭性前列腺癌的代谢组学特征。

Metabolomic signatures of aggressive prostate cancer.

机构信息

Clinical Research and Development, Metabolon, Inc., Durham, North Carolina, USA.

出版信息

Prostate. 2013 Oct;73(14):1547-60. doi: 10.1002/pros.22704. Epub 2013 Jul 3.

Abstract

BACKGROUND

Current diagnostic techniques have increased the detection of prostate cancer; however, these tools inadequately stratify patients to minimize mortality. Recent studies have identified a biochemical signature of prostate cancer metastasis, including increased sarcosine abundance. This study examined the association of tissue metabolites with other clinically significant findings.

METHODS

A state of the art metabolomics platform analyzed prostatectomy tissues (331 prostate tumor, 178 cancer-free prostate tissues) from two independent sites. Biochemicals were analyzed by gas chromatography-mass spectrometry and ultrahigh performance liquid chromatography-tandem mass spectrometry. Statistical analyses identified metabolites associated with cancer aggressiveness: Gleason score, extracapsular extension, and seminal vesicle and lymph node involvement.

RESULTS

Prostate tumors had significantly altered metabolite profiles compared to cancer-free prostate tissues, including biochemicals associated with cell growth, energetics, stress, and loss of prostate-specific biochemistry. Many metabolites were further associated with clinical findings of aggressive disease. Aggressiveness-associated metabolites stratified prostate tumor tissues with high abundances of compounds associated with normal prostate function (e.g., citrate and polyamines) from more clinically advanced prostate tumors. These aggressive prostate tumors were further subdivided by abundance profiles of metabolites including NAD+ and kynurenine. When added to multiparametric nomograms, metabolites improved prediction of organ confinement (AUROC from 0.53 to 0.62) and 5-year recurrence (AUROC from 0.53 to 0.64).

CONCLUSIONS

These findings support and extend earlier metabolomic studies in prostate cancer and studies where metabolic enzymes have been associated with carcinogenesis and/or outcome. Furthermore, these data suggest that panels of analytes may be valuable to translate metabolomic findings to clinically useful diagnostic tests.

摘要

背景

目前的诊断技术提高了前列腺癌的检出率;然而,这些工具并不能充分对患者进行分层,以最大限度地降低死亡率。最近的研究已经确定了前列腺癌转移的生化特征,包括肌氨酸的丰度增加。本研究探讨了组织代谢物与其他具有临床意义的发现之间的关系。

方法

使用最先进的代谢组学平台分析了来自两个独立地点的前列腺切除术组织(331 例前列腺肿瘤、178 例无癌前列腺组织)。通过气相色谱-质谱联用和超高效液相色谱-串联质谱分析生物化学物质。统计分析确定了与癌症侵袭性相关的代谢物:Gleason 评分、包膜外延伸以及精囊和淋巴结受累。

结果

与无癌前列腺组织相比,前列腺肿瘤组织的代谢物谱发生了显著改变,包括与细胞生长、能量代谢、应激和前列腺特异性生化丧失相关的生物化学物质。许多代谢物与侵袭性疾病的临床发现进一步相关。侵袭性相关代谢物将前列腺肿瘤组织分为两类,一类是与正常前列腺功能相关的化合物(如柠檬酸和多胺)丰度较高的组织,另一类是更具侵袭性的前列腺肿瘤组织。这些侵袭性前列腺肿瘤组织可进一步根据代谢物的丰度谱进行细分,包括 NAD+和犬尿氨酸。当将代谢物加入多参数列线图时,可改善对器官局限(AUROC 从 0.53 提高到 0.62)和 5 年复发(AUROC 从 0.53 提高到 0.64)的预测。

结论

这些发现支持并扩展了之前在前列腺癌中的代谢组学研究,以及代谢酶与癌症发生和/或预后相关的研究。此外,这些数据表明,分析物组合可能对将代谢组学发现转化为临床有用的诊断测试具有重要价值。

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