Cargando…

Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Giskeødegård, Guro F., Bertilsson, Helena, Selnæs, Kirsten M., Wright, Alan J., Bathen, Tone F., Viset, Trond, Halgunset, Jostein, Angelsen, Anders, Gribbestad, Ingrid S., Tessem, May-Britt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633894/
https://www.ncbi.nlm.nih.gov/pubmed/23626811
http://dx.doi.org/10.1371/journal.pone.0062375
_version_ 1782267013774704640
author Giskeødegård, Guro F.
Bertilsson, Helena
Selnæs, Kirsten M.
Wright, Alan J.
Bathen, Tone F.
Viset, Trond
Halgunset, Jostein
Angelsen, Anders
Gribbestad, Ingrid S.
Tessem, May-Britt
author_facet Giskeødegård, Guro F.
Bertilsson, Helena
Selnæs, Kirsten M.
Wright, Alan J.
Bathen, Tone F.
Viset, Trond
Halgunset, Jostein
Angelsen, Anders
Gribbestad, Ingrid S.
Tessem, May-Britt
author_sort Giskeødegård, Guro F.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3633894
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36338942013-04-26 Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness Giskeødegård, Guro F. Bertilsson, Helena Selnæs, Kirsten M. Wright, Alan J. Bathen, Tone F. Viset, Trond Halgunset, Jostein Angelsen, Anders Gribbestad, Ingrid S. Tessem, May-Britt PLoS One Research Article 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. Public Library of Science 2013-04-23 /pmc/articles/PMC3633894/ /pubmed/23626811 http://dx.doi.org/10.1371/journal.pone.0062375 Text en © 2013 Giskeødegård et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Giskeødegård, Guro F.
Bertilsson, Helena
Selnæs, Kirsten M.
Wright, Alan J.
Bathen, Tone F.
Viset, Trond
Halgunset, Jostein
Angelsen, Anders
Gribbestad, Ingrid S.
Tessem, May-Britt
Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness
title Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness
title_full Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness
title_fullStr Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness
title_full_unstemmed Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness
title_short Spermine and Citrate as Metabolic Biomarkers for Assessing Prostate Cancer Aggressiveness
title_sort spermine and citrate as metabolic biomarkers for assessing prostate cancer aggressiveness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633894/
https://www.ncbi.nlm.nih.gov/pubmed/23626811
http://dx.doi.org/10.1371/journal.pone.0062375
work_keys_str_mv AT giskeødegardgurof spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT bertilssonhelena spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT selnæskirstenm spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT wrightalanj spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT bathentonef spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT visettrond spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT halgunsetjostein spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT angelsenanders spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT gribbestadingrids spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness
AT tessemmaybritt spermineandcitrateasmetabolicbiomarkersforassessingprostatecanceraggressiveness