Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness

被引:136
|
作者
Giskeodegard, Guro F. [1 ,2 ]
Bertilsson, Helena [3 ,4 ]
Selnaes, Kirsten M. [1 ,2 ]
Wright, Alan J. [5 ]
Bathen, Tone F. [1 ,2 ]
Viset, Trond [6 ]
Halgunset, Jostein [3 ,6 ]
Angelsen, Anders [4 ,7 ]
Gribbestad, Ingrid S. [1 ,2 ]
Tessem, May-Britt [1 ,2 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, Dept Circulat & Med Imaging, MI Lab, Trondheim, Norway
[2] Univ Trondheim Hosp, St Olavs Hosp, Trondheim, Norway
[3] NTNU, Dept Lab Med & Childrens & Womens Hlth, Trondheim, Norway
[4] Univ Trondheim Hosp, Dept Urol, St Olavs Hosp, Trondheim, Norway
[5] Radboud Univ Nijmegen, Med Ctr, Dept Radiol, NL-6525 ED Nijmegen, Netherlands
[6] Univ Trondheim Hosp, St Olavs Hosp, Dept Pathol & Med Genet, Trondheim, Norway
[7] NTNU, Dept Canc Res & Clin Med, Trondheim, Norway
来源
PLOS ONE | 2013年 / 8卷 / 04期
关键词
H-1; HR-MAS; PROTON MR SPECTROSCOPY; PATHOLOGICAL ANALYSIS; GLEASON SCORE; T; TISSUE; TOOL;
D O I
10.1371/journal.pone.0062375
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Separating indolent from aggressive prostate cancer is an important clinical challenge for identifying patients eligible for active surveillance, thereby reducing the risk of overtreatment. The purpose of this study was to assess prostate cancer aggressiveness by metabolic profiling of prostatectomy tissue and to identify specific metabolites as biomarkers for aggressiveness. Prostate tissue samples (n = 158, 48 patients) with a high cancer content (mean: 61.8%) were obtained using a new harvesting method, and metabolic profiles of samples representing different Gleason scores (GS) were acquired by high resolution magic angle spinning magnetic resonance spectroscopy (HR-MAS). Multivariate analysis (PLS, PLS-DA) and absolute quantification (LCModel) were used to examine the ability to predict cancer aggressiveness by comparing low grade (GS = 6, n = 30) and high grade (GS >= 7, n = 81) cancer with normal adjacent tissue (n = 47). High grade cancer tissue was distinguished from low grade cancer tissue by decreased concentrations of spermine (p = 0.0044) and citrate (p = 7.73.10(-4)), and an increase in the clinically applied (total choline+creatine+polyamines)/citrate (CCP/C) ratio (p = 2.17.10(-4)). The metabolic profiles were significantly correlated to the GS obtained from each tissue sample (r = 0.71), and cancer tissue could be distinguished from normal tissue with sensitivity 86.9% and specificity 85.2%. Overall, our findings show that metabolic profiling can separate aggressive from indolent prostate cancer. This holds promise for the benefit of applying in vivo magnetic resonance spectroscopy (MRS) within clinical MR imaging investigations, and HR-MAS analysis of transrectal ultrasound-guided biopsies has a potential as an additional diagnostic tool.
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页数:9
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