Cargando…

The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk

BACKGROUND: Periprostatic adipose tissue (PPAT) plays a role in prostate cancer (PCa) progression. PPAT lipidomic composition study may allow us to understand the tumor metabolic microenvironment and provide new stratification factors. METHODS: We used ultra-high-performance liquid chromatography-ma...

Descripción completa

Detalles Bibliográficos
Autores principales: Altuna-Coy, Antonio, Ruiz-Plazas, Xavier, Sánchez-Martin, Silvia, Ascaso-Til, Helena, Prados-Saavedra, Manuel, Alves-Santiago, Marta, Bernal-Escoté, Xana, Segarra-Tomás, José, R. Chacón, Matilde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386931/
https://www.ncbi.nlm.nih.gov/pubmed/35978404
http://dx.doi.org/10.1186/s12916-022-02457-3
_version_ 1784769918909022208
author Altuna-Coy, Antonio
Ruiz-Plazas, Xavier
Sánchez-Martin, Silvia
Ascaso-Til, Helena
Prados-Saavedra, Manuel
Alves-Santiago, Marta
Bernal-Escoté, Xana
Segarra-Tomás, José
R. Chacón, Matilde
author_facet Altuna-Coy, Antonio
Ruiz-Plazas, Xavier
Sánchez-Martin, Silvia
Ascaso-Til, Helena
Prados-Saavedra, Manuel
Alves-Santiago, Marta
Bernal-Escoté, Xana
Segarra-Tomás, José
R. Chacón, Matilde
author_sort Altuna-Coy, Antonio
collection PubMed
description BACKGROUND: Periprostatic adipose tissue (PPAT) plays a role in prostate cancer (PCa) progression. PPAT lipidomic composition study may allow us to understand the tumor metabolic microenvironment and provide new stratification factors. METHODS: We used ultra-high-performance liquid chromatography-mass spectrometry-based non-targeted lipidomics to profile lipids in the PPAT of 40 patients with PCa (n = 20 with low-risk and n = 20 high-risk). Partial least squares-discriminant analysis (PLS-DA) and variable importance in projection (VIP) analysis were used to identify the most relevant features of PPAT between low- and high-risk PCa, and metabolite set enrichment analysis was used to detect disrupted metabolic pathways. Metabolic crosstalk between PPAT and PCa cell lines (PC-3 and LNCaP) was studied using ex vivo experiments. Lipid uptake and lipid accumulation were measured. Lipid metabolic-related genes (SREBP1, FASN, ACACA, LIPE, PPARG, CD36, PNPLA2, FABP4, CPT1A, FATP5, ADIPOQ), inflammatory markers (IL-6, IL-1B, TNFα), and tumor-related markers (ESRRA, MMP-9, TWIST1) were measured by RT-qPCR. RESULTS: Significant differences in the content of 67 lipid species were identified in PPAT samples between high- and low-risk PCa. PLS-DA and VIP analyses revealed a discriminating lipidomic panel between low- and high-risk PCa, suggesting the occurrence of disordered lipid metabolism in patients related to PCa aggressiveness. Functional analysis revealed that alterations in fatty acid biosynthesis, linoleic acid metabolism, and β-oxidation of very long-chain fatty acids had the greatest impact in the PPAT lipidome. Gene analyses of PPAT samples demonstrated that the expression of genes associated with de novo fatty acid synthesis such as FASN and ACACA were significantly lower in PPAT from high-risk PCa than in low-risk counterparts. This was accompanied by the overexpression of inflammatory markers (IL-6, IL-1B, and TNFα). Co-culture of PPAT explants with PCa cell lines revealed a reduced gene expression of lipid metabolic-related genes (CD36, FASN, PPARG, and CPT1A), contrary to that observed in co-cultured PCa cell lines. This was followed by an increase in lipid uptake and lipid accumulation in PCa cells. Tumor-related genes were increased in co-cultured PCa cell lines. CONCLUSIONS: Disturbances in PPAT lipid metabolism of patients with high-risk PCa are associated with tumor cell metabolic changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02457-3.
format Online
Article
Text
id pubmed-9386931
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93869312022-08-19 The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk Altuna-Coy, Antonio Ruiz-Plazas, Xavier Sánchez-Martin, Silvia Ascaso-Til, Helena Prados-Saavedra, Manuel Alves-Santiago, Marta Bernal-Escoté, Xana Segarra-Tomás, José R. Chacón, Matilde BMC Med Research Article BACKGROUND: Periprostatic adipose tissue (PPAT) plays a role in prostate cancer (PCa) progression. PPAT lipidomic composition study may allow us to understand the tumor metabolic microenvironment and provide new stratification factors. METHODS: We used ultra-high-performance liquid chromatography-mass spectrometry-based non-targeted lipidomics to profile lipids in the PPAT of 40 patients with PCa (n = 20 with low-risk and n = 20 high-risk). Partial least squares-discriminant analysis (PLS-DA) and variable importance in projection (VIP) analysis were used to identify the most relevant features of PPAT between low- and high-risk PCa, and metabolite set enrichment analysis was used to detect disrupted metabolic pathways. Metabolic crosstalk between PPAT and PCa cell lines (PC-3 and LNCaP) was studied using ex vivo experiments. Lipid uptake and lipid accumulation were measured. Lipid metabolic-related genes (SREBP1, FASN, ACACA, LIPE, PPARG, CD36, PNPLA2, FABP4, CPT1A, FATP5, ADIPOQ), inflammatory markers (IL-6, IL-1B, TNFα), and tumor-related markers (ESRRA, MMP-9, TWIST1) were measured by RT-qPCR. RESULTS: Significant differences in the content of 67 lipid species were identified in PPAT samples between high- and low-risk PCa. PLS-DA and VIP analyses revealed a discriminating lipidomic panel between low- and high-risk PCa, suggesting the occurrence of disordered lipid metabolism in patients related to PCa aggressiveness. Functional analysis revealed that alterations in fatty acid biosynthesis, linoleic acid metabolism, and β-oxidation of very long-chain fatty acids had the greatest impact in the PPAT lipidome. Gene analyses of PPAT samples demonstrated that the expression of genes associated with de novo fatty acid synthesis such as FASN and ACACA were significantly lower in PPAT from high-risk PCa than in low-risk counterparts. This was accompanied by the overexpression of inflammatory markers (IL-6, IL-1B, and TNFα). Co-culture of PPAT explants with PCa cell lines revealed a reduced gene expression of lipid metabolic-related genes (CD36, FASN, PPARG, and CPT1A), contrary to that observed in co-cultured PCa cell lines. This was followed by an increase in lipid uptake and lipid accumulation in PCa cells. Tumor-related genes were increased in co-cultured PCa cell lines. CONCLUSIONS: Disturbances in PPAT lipid metabolism of patients with high-risk PCa are associated with tumor cell metabolic changes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02457-3. BioMed Central 2022-08-18 /pmc/articles/PMC9386931/ /pubmed/35978404 http://dx.doi.org/10.1186/s12916-022-02457-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Altuna-Coy, Antonio
Ruiz-Plazas, Xavier
Sánchez-Martin, Silvia
Ascaso-Til, Helena
Prados-Saavedra, Manuel
Alves-Santiago, Marta
Bernal-Escoté, Xana
Segarra-Tomás, José
R. Chacón, Matilde
The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
title The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
title_full The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
title_fullStr The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
title_full_unstemmed The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
title_short The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
title_sort lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell’s metabolic crosstalk
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386931/
https://www.ncbi.nlm.nih.gov/pubmed/35978404
http://dx.doi.org/10.1186/s12916-022-02457-3
work_keys_str_mv AT altunacoyantonio thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT ruizplazasxavier thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT sanchezmartinsilvia thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT ascasotilhelena thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT pradossaavedramanuel thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT alvessantiagomarta thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT bernalescotexana thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT segarratomasjose thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT rchaconmatilde thelipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT altunacoyantonio lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT ruizplazasxavier lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT sanchezmartinsilvia lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT ascasotilhelena lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT pradossaavedramanuel lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT alvessantiagomarta lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT bernalescotexana lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT segarratomasjose lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk
AT rchaconmatilde lipidomicprofileofthetumoralperiprostaticadiposetissuerevealsalterationsintumorcellsmetaboliccrosstalk