ArticleBMC medicine2022
The lipidomic profile of the tumoral periprostatic adipose tissue reveals alterations in tumor cell's metabolic crosstalk.
Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 34 citations in OpenAlex.
- Article
- GSTM4 Suppresses Prostate Cancer Progression by Targeting TRIM27-mediated ACLY Ubiquitination and Lipid Metabolism.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- SARIFA and Lipid Metabolic Reprogramming in Prostate Cancer: Fundamental Mechanisms, Tumor Microenvironment, and Novel Biomarker Prospects.Life (Basel, Switzerland) · 2026Review
- Development and internal validation of a noninvasive predictive model based on iron and fat measurements for pathologic risk stratification in prostate cancer.Translational andrology and urology · 2026Article
- Obesogens in Prostate Cancer: An Endocrine and Metabolic Threat.Current obesity reports · 2026Review
- Metabolomic Markers Reveal How hCG-Ketoprofen Intervention Increase Pregnancy Percentage Following Timed Artificial Insemination in Dairy Cows.Animals : an open access journal from MDPI · 2026Article
- Periprostatic adipose tissue-derived extracellular vesicles modulate prostate cancer cell behaviour in vitro according to tumour grade.Molecular medicine (Cambridge, Mass.) · 2026Article
- Multiparametric MRI-based radiomics model integrating tumor lesion and periprostatic adipose tissue for predicting bone metastasis in prostate cancer.Frontiers in oncology · 2026Article
- Liquiritin restores metabolic homeostasis in NAFLD by modulating AKT1/FOXO1 signaling.Frontiers in pharmacology · 2026Article
- RAN potentiates nuclear export of phosphorylated AMPK, reshaping lipid metabolism and impairing immune efficacy in lung adenocarcinoma.NPJ precision oncology · 2025Article
- The Many Facets of PPAR-γ Agonism in Obesity and Associated Comorbidities: Benefits, Risks, Challenges, and Future Directions.Current obesity reports · 2025Review
- ENPP2 promotes progression and lipid accumulation via AMPK/SREBP1/FAS pathway in chronic lymphocytic leukemia.Cellular & molecular biology letters · 2024Article
- Article
- Prostate cancer microenvironment: multidimensional regulation of immune cells, vascular system, stromal cells, and microbiota.Molecular cancer · 2024Review
- A dynamic online nomogram predicting prostate cancer short-term prognosis based onAbdominal radiology (New York) · 2024Article
- Application of proton density fat fraction imaging in risk stratification of prostate cancer.Translational andrology and urology · 2024Article
- The SARIFA biomarker in the context of basic research of lipid-driven cancers.NPJ precision oncology · 2024Review
- Tumoral periprostatic adipose tissue exovesicles-derived miR-20a-5p regulates prostate cancer cell proliferation and inflammation through the RORA gene.Journal of translational medicine · 2024Article
- Article
- Magnetic resonance imaging-based radiomics nomogram for the evaluation of therapeutic responses to neoadjuvant chemohormonal therapy in high-risk non-metastatic prostate cancer.Cancer medicine · 2024Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeriprostatic 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.
methodsWe 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.
resultsSignificant 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.
conclusionsDisturbances in PPAT lipid metabolism of patients with high-risk PCa are associated with tumor cell metabolic changes.
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