Metabolomic signatures of aggressive prostate cancer

被引:113
作者
McDunn, Jonathan E. [1 ]
Li, Zhen [1 ]
Adam, Klaus-Peter [1 ]
Neri, Bruce P. [1 ]
Wolfert, Robert L. [1 ]
Milburn, Michael V. [1 ]
Lotan, Yair [2 ]
Wheeler, Thomas M. [3 ]
机构
[1] Metabolon Inc, Clin Res & Dev, Durham, NC USA
[2] Univ Texas SW Med Ctr Dallas, Dept Urol, Dallas, TX 75390 USA
[3] Baylor Coll Med, Dept Pathol & Immunol, Houston, TX 77030 USA
关键词
clinical heterogeneity; prostate cancer; metabolomics; diagnosis; SATURATION BIOPSY; SERUM SARCOSINE; IDENTIFICATION; EXPRESSION; EPITHELIUM; BIOMARKER; MOLECULE; PREDICT; BENIGN; MARKER;
D O I
10.1002/pros.22704
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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. Prostate 73: 1547-1560, 2013 (c) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:1547 / 1560
页数:14
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