Cargando…
Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status
BACKGROUND: Prostate cancer (PC) can display very heterogeneous phenotypes ranging from indolent asymptomatic to aggressive lethal forms. Understanding how these PC subtypes vary in their striving for energy and anabolic molecules is of fundamental importance for developing more effective therapies...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236196/ https://www.ncbi.nlm.nih.gov/pubmed/32423389 http://dx.doi.org/10.1186/s12885-020-06908-z |
_version_ | 1783536114327355392 |
---|---|
author | Dudka, Ilona Thysell, Elin Lundquist, Kristina Antti, Henrik Iglesias-Gato, Diego Flores-Morales, Amilcar Bergh, Anders Wikström, Pernilla Gröbner, Gerhard |
author_facet | Dudka, Ilona Thysell, Elin Lundquist, Kristina Antti, Henrik Iglesias-Gato, Diego Flores-Morales, Amilcar Bergh, Anders Wikström, Pernilla Gröbner, Gerhard |
author_sort | Dudka, Ilona |
collection | PubMed |
description | BACKGROUND: Prostate cancer (PC) can display very heterogeneous phenotypes ranging from indolent asymptomatic to aggressive lethal forms. Understanding how these PC subtypes vary in their striving for energy and anabolic molecules is of fundamental importance for developing more effective therapies and diagnostics. Here, we carried out an extensive analysis of prostate tissue samples to reveal metabolic alterations during PC development and disease progression and furthermore between TMPRSS2-ERG rearrangement-positive and -negative PC subclasses. METHODS: Comprehensive metabolomics analysis of prostate tissue samples was performed by non-destructive high-resolution magic angle spinning nuclear magnetic resonance ((1)H HR MAS NMR). Subsequently, samples underwent moderate extraction, leaving tissue morphology intact for histopathological characterization. Metabolites in tissue extracts were identified by (1)H/(31)P NMR and liquid chromatography-mass spectrometry (LC-MS). These metabolomics profiles were analyzed by chemometric tools and the outcome was further validated using proteomic data from a separate sample cohort. RESULTS: The obtained metabolite patterns significantly differed between PC and benign tissue and between samples with high and low Gleason score (GS). Five key metabolites (phosphocholine, glutamate, hypoxanthine, arginine and α-glucose) were identified, who were sufficient to differentiate between cancer and benign tissue and between high to low GS. In ERG-positive PC, the analysis revealed several acylcarnitines among the increased metabolites together with decreased levels of proteins involved in β-oxidation; indicating decreased acyl-CoAs oxidation in ERG-positive tumors. The ERG-positive group also showed increased levels of metabolites and proteins involved in purine catabolism; a potential sign of increased DNA damage and oxidative stress. CONCLUSIONS: Our comprehensive metabolomic analysis strongly indicates that ERG-positive PC and ERG-negative PC should be considered as different subtypes of PC; a fact requiring different, sub-type specific treatment strategies for affected patients. |
format | Online Article Text |
id | pubmed-7236196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72361962020-05-27 Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status Dudka, Ilona Thysell, Elin Lundquist, Kristina Antti, Henrik Iglesias-Gato, Diego Flores-Morales, Amilcar Bergh, Anders Wikström, Pernilla Gröbner, Gerhard BMC Cancer Research Article BACKGROUND: Prostate cancer (PC) can display very heterogeneous phenotypes ranging from indolent asymptomatic to aggressive lethal forms. Understanding how these PC subtypes vary in their striving for energy and anabolic molecules is of fundamental importance for developing more effective therapies and diagnostics. Here, we carried out an extensive analysis of prostate tissue samples to reveal metabolic alterations during PC development and disease progression and furthermore between TMPRSS2-ERG rearrangement-positive and -negative PC subclasses. METHODS: Comprehensive metabolomics analysis of prostate tissue samples was performed by non-destructive high-resolution magic angle spinning nuclear magnetic resonance ((1)H HR MAS NMR). Subsequently, samples underwent moderate extraction, leaving tissue morphology intact for histopathological characterization. Metabolites in tissue extracts were identified by (1)H/(31)P NMR and liquid chromatography-mass spectrometry (LC-MS). These metabolomics profiles were analyzed by chemometric tools and the outcome was further validated using proteomic data from a separate sample cohort. RESULTS: The obtained metabolite patterns significantly differed between PC and benign tissue and between samples with high and low Gleason score (GS). Five key metabolites (phosphocholine, glutamate, hypoxanthine, arginine and α-glucose) were identified, who were sufficient to differentiate between cancer and benign tissue and between high to low GS. In ERG-positive PC, the analysis revealed several acylcarnitines among the increased metabolites together with decreased levels of proteins involved in β-oxidation; indicating decreased acyl-CoAs oxidation in ERG-positive tumors. The ERG-positive group also showed increased levels of metabolites and proteins involved in purine catabolism; a potential sign of increased DNA damage and oxidative stress. CONCLUSIONS: Our comprehensive metabolomic analysis strongly indicates that ERG-positive PC and ERG-negative PC should be considered as different subtypes of PC; a fact requiring different, sub-type specific treatment strategies for affected patients. BioMed Central 2020-05-18 /pmc/articles/PMC7236196/ /pubmed/32423389 http://dx.doi.org/10.1186/s12885-020-06908-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Dudka, Ilona Thysell, Elin Lundquist, Kristina Antti, Henrik Iglesias-Gato, Diego Flores-Morales, Amilcar Bergh, Anders Wikström, Pernilla Gröbner, Gerhard Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status |
title | Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status |
title_full | Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status |
title_fullStr | Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status |
title_full_unstemmed | Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status |
title_short | Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status |
title_sort | comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and tmprss2-erg fusion status |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236196/ https://www.ncbi.nlm.nih.gov/pubmed/32423389 http://dx.doi.org/10.1186/s12885-020-06908-z |
work_keys_str_mv | AT dudkailona comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT thysellelin comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT lundquistkristina comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT anttihenrik comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT iglesiasgatodiego comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT floresmoralesamilcar comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT berghanders comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT wikstrompernilla comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus AT grobnergerhard comprehensivemetabolomicsanalysisofprostatecancertissueinrelationtotumoraggressivenessandtmprss2ergfusionstatus |