Dataset Information

Obesogenic high-fat diet and MYC cooperate to promote lactate accumulation and tumor microenvironment remodeling in prostate cancer (Murine prostate assays)

ABSTRACT:

Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic high-fat diet was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In prostate cancer patients, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like tumor-associated macrophages. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the tumor microenvironment and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer.

Murine prostate assays are reported in the current study MTBLS3317.

Murine serum assays are reported in MTBLS3316.

INSTRUMENT(S): Q Exactive

SUBMITTER: giorgia zadra

PROVIDER: MTBLS3317 | MetaboLights | 2024-04-10

REPOSITORIES: MetaboLights

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Dataset's files

Source:

			Action	DRS
	MTBLS3317	Other
	FILES	Other
	a_MTBLS3317_METHOD1_POS_1_metabolite_profiling_mass_spectrometry.txt	Txt
	a_MTBLS3317_METHOD2_POS_2_metabolite_profiling_mass_spectrometry.txt	Txt
	a_MTBLS3317_METHOD3_NEG_1_metabolite_profiling_mass_spectrometry.txt	Txt

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Publications

Obesogenic High-Fat Diet and MYC Cooperate to Promote Lactate Accumulation and Tumor Microenvironment Remodeling in Prostate Cancer.

Boufaied Nadia N Chetta Paolo P Hallal Tarek T Cacciatore Stefano S Lalli Daniela D Luthold Carole C Homsy Kevin K Imada Eddie L EL Syamala Sudeepa S Photopoulos Cornelia C Di Matteo Anna A de Polo Anna A Storaci Alessandra Maria AM Huang Ying Y Giunchi Francesca F Sheridan Patricia A PA Michelotti Gregory G Nguyen Quang-De QD Zhao Xin X Liu Yang Y Davicioni Elai E Spratt Daniel E DE Sabbioneda Simone S Maga Giovanni G Mucci Lorelei A LA Ghigna Claudia C Marchionni Luigi L Butler Lisa M LM Ellis Leigh L Bordeleau François F Loda Massimo M Vaira Valentina V Labbé David P DP Zadra Giorgia G

Cancer research 20240601 11

PMID: 38831751

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Project description:Cancer cells exhibit metabolic plasticity to meet oncogene-driven dependencies while coping with nutrient availability. A better understanding of how systemic metabolism impacts the accumulation of metabolites that reprogram the tumor microenvironment and drive cancer could facilitate development of precision nutrition approaches. Using the Hi-MYC prostate cancer mouse model, we demonstrated that an obesogenic high-fat diet rich in saturated fats accelerates the development of c-MYC-driven invasive prostate cancer through metabolic rewiring. Although c-MYC modulated key metabolic pathways, interaction with an obesogenic high-fat diet was necessary to induce glycolysis and lactate accumulation in tumors. These metabolic changes were associated with augmented infiltration of CD206+ and PD-L1+ tumor-associated macrophages and FOXP3+ regulatory T cells, as well as with the activation of transcriptional programs linked to disease progression and therapy resistance. Lactate itself also stimulated neoangiogenesis and prostate cancer cell migration, which were significantly reduced following treatment with the lactate dehydrogenase inhibitor FX11. In prostate cancer patients, high saturated fat intake and increased body mass index were associated with tumor glycolytic features that promote the infiltration of M2-like tumor-associated macrophages. Finally, upregulation of lactate dehydrogenase, indicative of a lactagenic phenotype, was associated with a shorter time to biochemical recurrence in independent clinical cohorts. This work identifies cooperation between genetic drivers and systemic metabolism to hijack the tumor microenvironment and promote prostate cancer progression through oncometabolite accumulation. This sets the stage for the assessment of lactate as a prognostic biomarker and supports strategies of dietary intervention and direct lactagenesis blockade in treating advanced prostate cancer. Murine serum assays are reported in the current study MTBLS3316.Murine prostate assays are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS3317' rel='noopener noreferrer' target='_blank'>MTBLS3317</a>.

Project description:Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation underlying this clinical heterogeneity, we profiled gene expression in 62 primary prostate tumors, as well as 41 normal prostate specimens and nine lymph node metastases, using cDNA microarrays containing approximately 26,000 genes. Unsupervised hierarchical clustering readily distinguished tumors from normal samples, and further identified three subclasses of prostate tumors based on distinct patterns of gene expression. High-grade and advanced stage tumors, as well as tumors associated with recurrence, were disproportionately represented among two of the three subtypes, one of which also included most lymph node metastases. To further characterize the clinical relevance of tumor subtypes, we evaluated as surrogate markers two genes differentially expressed among tumor subgroups by using immunohistochemistry on tissue microarrays representing an independent set of 225 prostate tumors. Positive staining for MUC1, a gene highly expressed in the subgroups with "aggressive" clinicopathological features, was associated with an elevated risk of recurrence (P = 0.003), whereas strong staining for AZGP1, a gene highly expressed in the other subgroup, was associated with a decreased risk of recurrence (P = 0.0008). In multivariate analysis, MUC1 and AZGP1 staining were strong predictors of tumor recurrence independent of tumor grade, stage, and preoperative prostate-specific antigen levels. Our results suggest that prostate tumors can be usefully classified according to their gene expression patterns, and these tumor subtypes may provide a basis for improved prognostication and treatment stratification. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Keywords: disease_state_design Using regression correlation