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Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification

BACKGROUND: Little is known about the relationship between the metabolite profile of plasma from pre-operative prostate cancer (PCa) patients and the risk of PCa progression. In this study we investigated the association between pre-operative plasma metabolites and risk of biochemical-, local- and m...

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Autores principales: Zoni, Eugenio, Minoli, Martina, Bovet, Cédric, Wehrhan, Anne, Piscuoglio, Salvatore, Ng, Charlotte K. Y., Gray, Peter C., Spahn, Martin, Thalmann, George N., Kruithof-de Julio, Marianna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916032/
https://www.ncbi.nlm.nih.gov/pubmed/31842810
http://dx.doi.org/10.1186/s12885-019-6418-2
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author Zoni, Eugenio
Minoli, Martina
Bovet, Cédric
Wehrhan, Anne
Piscuoglio, Salvatore
Ng, Charlotte K. Y.
Gray, Peter C.
Spahn, Martin
Thalmann, George N.
Kruithof-de Julio, Marianna
author_facet Zoni, Eugenio
Minoli, Martina
Bovet, Cédric
Wehrhan, Anne
Piscuoglio, Salvatore
Ng, Charlotte K. Y.
Gray, Peter C.
Spahn, Martin
Thalmann, George N.
Kruithof-de Julio, Marianna
author_sort Zoni, Eugenio
collection PubMed
description BACKGROUND: Little is known about the relationship between the metabolite profile of plasma from pre-operative prostate cancer (PCa) patients and the risk of PCa progression. In this study we investigated the association between pre-operative plasma metabolites and risk of biochemical-, local- and metastatic-recurrence, with the aim of improving patient stratification. METHODS: We conducted a case-control study within a cohort of PCa patients recruited between 1996 and 2015. The age-matched primary cases (n = 33) were stratified in low risk, high risk without progression and high risk with progression as defined by the National Comprehensive Cancer Network. These samples were compared to metastatic (n = 9) and healthy controls (n = 10). The pre-operative plasma from primary cases and the plasma from metastatic patients and controls were assessed with untargeted metabolomics by LC-MS. The association between risk of progression and metabolite abundance was calculated using multivariate Cox proportional-hazard regression and the relationship between metabolites and outcome was calculated using median cut-off normalized values of metabolite abundance by Log-Rank test using the Kaplan Meier method. RESULTS: Medium-chain acylcarnitines (C6-C12) were positively associated with the risk of PSA progression (p = 0.036, median cut-off) while long-chain acylcarnitines (C14-C16) were inversely associated with local (p = 0.034) and bone progression (p = 0.0033). In primary cases, medium-chain acylcarnitines were positively associated with suberic acid, which also correlated with the risk of PSA progression (p = 0.032, Log-Rank test). In the metastatic samples, this effect was consistent for hexanoylcarnitine, L.octanoylcarnitine and decanoylcarnitine. Medium-chain acylcarnitines and suberic acid displayed the same inverse association with tryptophan, while indoleacetic acid, a breakdown product of tryptophan metabolism was strongly associated with PSA (p = 0.0081, Log-Rank test) and lymph node progression (p = 0.025, Log-Rank test). These data were consistent with the increased expression of indoleamine 2,3 dioxygenase (IDO1) in metastatic versus primary samples (p = 0.014). Finally, functional experiments revealed a synergistic effect of long chain fatty acids in combination with dihydrotestosterone administration on the transcription of androgen responsive genes. CONCLUSIONS: This study strengthens the emerging link between fatty acid metabolism and PCa progression and suggests that measuring levels of medium- and long-chain acylcarnitines in pre-operative patient plasma may provide a basis for improving patient stratification.
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spelling pubmed-69160322019-12-30 Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification Zoni, Eugenio Minoli, Martina Bovet, Cédric Wehrhan, Anne Piscuoglio, Salvatore Ng, Charlotte K. Y. Gray, Peter C. Spahn, Martin Thalmann, George N. Kruithof-de Julio, Marianna BMC Cancer Research Article BACKGROUND: Little is known about the relationship between the metabolite profile of plasma from pre-operative prostate cancer (PCa) patients and the risk of PCa progression. In this study we investigated the association between pre-operative plasma metabolites and risk of biochemical-, local- and metastatic-recurrence, with the aim of improving patient stratification. METHODS: We conducted a case-control study within a cohort of PCa patients recruited between 1996 and 2015. The age-matched primary cases (n = 33) were stratified in low risk, high risk without progression and high risk with progression as defined by the National Comprehensive Cancer Network. These samples were compared to metastatic (n = 9) and healthy controls (n = 10). The pre-operative plasma from primary cases and the plasma from metastatic patients and controls were assessed with untargeted metabolomics by LC-MS. The association between risk of progression and metabolite abundance was calculated using multivariate Cox proportional-hazard regression and the relationship between metabolites and outcome was calculated using median cut-off normalized values of metabolite abundance by Log-Rank test using the Kaplan Meier method. RESULTS: Medium-chain acylcarnitines (C6-C12) were positively associated with the risk of PSA progression (p = 0.036, median cut-off) while long-chain acylcarnitines (C14-C16) were inversely associated with local (p = 0.034) and bone progression (p = 0.0033). In primary cases, medium-chain acylcarnitines were positively associated with suberic acid, which also correlated with the risk of PSA progression (p = 0.032, Log-Rank test). In the metastatic samples, this effect was consistent for hexanoylcarnitine, L.octanoylcarnitine and decanoylcarnitine. Medium-chain acylcarnitines and suberic acid displayed the same inverse association with tryptophan, while indoleacetic acid, a breakdown product of tryptophan metabolism was strongly associated with PSA (p = 0.0081, Log-Rank test) and lymph node progression (p = 0.025, Log-Rank test). These data were consistent with the increased expression of indoleamine 2,3 dioxygenase (IDO1) in metastatic versus primary samples (p = 0.014). Finally, functional experiments revealed a synergistic effect of long chain fatty acids in combination with dihydrotestosterone administration on the transcription of androgen responsive genes. CONCLUSIONS: This study strengthens the emerging link between fatty acid metabolism and PCa progression and suggests that measuring levels of medium- and long-chain acylcarnitines in pre-operative patient plasma may provide a basis for improving patient stratification. BioMed Central 2019-12-16 /pmc/articles/PMC6916032/ /pubmed/31842810 http://dx.doi.org/10.1186/s12885-019-6418-2 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zoni, Eugenio
Minoli, Martina
Bovet, Cédric
Wehrhan, Anne
Piscuoglio, Salvatore
Ng, Charlotte K. Y.
Gray, Peter C.
Spahn, Martin
Thalmann, George N.
Kruithof-de Julio, Marianna
Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
title Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
title_full Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
title_fullStr Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
title_full_unstemmed Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
title_short Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
title_sort preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916032/
https://www.ncbi.nlm.nih.gov/pubmed/31842810
http://dx.doi.org/10.1186/s12885-019-6418-2
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