Dataset Information

Metabolomics revealed the influence of breast cancer on lymphatic endothelial cell metabolism, metabolic crosstalk, and lymphangiogenic signaling in co-culture

ABSTRACT:

Breast cancer metastasis occurs via blood and lymphatic vessels. Breast cancer cells 'educate' lymphatic endothelial cells (LECs) to support tumor vascularization and growth. However, despite known metabolic alterations in breast cancer, it remains unclear how lymphatic endothelial cell metabolism is altered in the tumor microenvironment and its effect in lymphangiogenic signaling in LECs. We analyzed metabolites inside LECs in co-culture with MCF-7, MDA-MB-231, and SK-BR-3 breast cancer cell lines using 1H nuclear magnetic resonance (NMR) metabolomics, Seahorse, and the spatial distribution of metabolic co-enzymes using optical redox ratio imaging to describe breast cancer-LEC metabolic crosstalk. LECs co-cultured with breast cancer cells exhibited cell-line dependent altered metabolic profiles, including significant changes in lactate concentration in breast cancer co-culture. Cell metabolic phenotype analysis using Seahorse showed LECs in co-culture exhibited reduced mitochondrial respiration, increased reliance on glycolysis and reduced metabolic flexibility. Optical redox ratio measurements revealed reduced NAD(P)H levels in LECs potentially due to increased NAD(P)H utilization to maintain redox homeostasis. 13C-labeled glucose experiments did not reveal lactate shuttling into LECs from breast cancer cells, yet showed other 13C signals in LECs suggesting internalized metabolites and metabolic exchange between the two cell types. We also determined that breast cancer co-culture stimulated lymphangiogenic signaling in LECs, yet activation was not stimulated by lactate alone. Increased lymphangiogenic signaling suggests paracrine signaling between LECs and breast cancer cells which could have a pro-metastatic role.

INSTRUMENT(S): Bruker

SUBMITTER: Suehelay Acevedo

PROVIDER: MTBLS859 | MetaboLights | 2024-06-25

REPOSITORIES: MetaboLights

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Dataset's files

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			Action	DRS
	MTBLS859	Other
	FILES	Other
	a_MTBLS859_lec_metabolomics_metabolite_profiling_NMR_spectroscopy-1.txt	Txt
	a_MTBLS859_lec_metabolomics_metabolite_profiling_NMR_spectroscopy.txt	Txt
	i_Investigation.txt	Txt

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Metabolomics revealed the influence of breast cancer on lymphatic endothelial cell metabolism, metabolic crosstalk, and lymphangiogenic signaling in co-culture.

Acevedo-Acevedo Suehelay S Millar Douglas C DC Simmons Aaron D AD Favreau Peter P Cobra Paulo F PF Skala Melissa M Palecek Sean P SP

Scientific reports 20201204 1

PMID: 33277521

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Project description:Metastasizing tumor cells exit the vascular system through dynamic interactions with endothelial cells that line the internal surface of vessels. While extravasation is a key event within the metastatic cascade, the signals regulating tumor cell adhesion to the endothelium and their subsequent transendothelial migration are poorly understood. Here, we combined Stable Isotope Labeling by Amino acids in Cell culture (SILAC) and phosphoproteomic analysis to identify cell-specific signaling pathways regulated between interacting breast cancer cells and endothelial cells (see PRIDE repository PXD001558). Further co-culture experiments were performed alongside the phosphoproteomic analysis in order to control for the protein quantity. These are presented here. Using SILAC, cell-specific labels were introduced into MDA-MB-231-LM2 cells (Human Breast cancer) and HUVECs (Human endothelial cells) to ensure each cell type had a distinct and traceable phosphoproteome when tumor and endothelial cells were co-cultured. To probe regulatory signaling events triggered in cancer cells following contact with endothelial cells, we labeled LM2 cells with medium or heavy isotopomers of arginine and lysine (Arg+6 Da, Lys+4 Da and Arg+10 Da, Lys+8 Da respectively). Heavy-labeled LM2 cells were collected by enzyme-free cell dissociation buffer, thereby preserving membrane proteins and adhesion receptors, and seeded onto a monolayer of light-labeled (Arg+0 Da, Lys+0 Da) HUVECs. Following 15 min of co-culture, non-adherent LM2 cells were gently removed and cancer cells that had attached to the endothelial layer were lysed together with the HUVECs. In parallel, medium-labeled LM2 cells were collected under the same conditions and maintained as suspension cells in monoculture to represent circulating tumor cells prior to any contact with the endothelium. These were then added to the harvested LM2-HUVEC co-culture in a 1:1 ratio of heavy:medium-labeled cells to provide a point of reference. Based on the SILAC labeling of the different cell populations, light-labeled peptides were assigned to HUVECs, medium-labeled peptides to monocultured LM2 cells in suspension, and heavy-labeled peptides to LM2 cells that had made contact with HUVECs. As such, the heavy/medium ratio for each peptide was used to quantify phosphorylation-dependent signaling changes occurring specifically in the LM2 cells upon contact with HUVECs. Conversely, to elucidate signaling events in HUVECs that were initiated by contacting cancer cells, light-labeled LM2 cells were seeded on top of a confluent monolayer of heavy-labeled HUVECs, while medium-labeled HUVECs were maintained in monoculture. Following 15 min of co-culture, the unattached LM2 cells were removed. Cells were lysed, mixed in a 1:1 ratio of heavy:medium HUVECs, followed by membrane fractionation and phosphoproteomic analysis as described above. A variation in phospho-peptide quantity could be due to the experimental difficulties in mixing heavy and medium labels in a 1:1 ratio or a quick regulation of the protein quantity through modification of its expression/degradation balance. Thus, we performed relative quantification of non-phosphorylated peptides in parallel with the phosphoproteomic analysis to account for changes in total protein abundance (data presented here) or correct for experimental bias. Cytoplasmic fractions were analyzed by LC-MS/MS before TiO2 enrichment and their median log2(H/M) were used for normalization of the phosphoproteomic dataset. In order to increase the number of proteins quantified in the LM2 cells, we performed a supplementary co-culture experiment and fractionated the peptides by SDS-PAGE. In order to get a confident relative quantification of Ephrin type-A receptor 2 (EPHA2), we performed 2 independent experiments followed by EPHA2 IP and LC-MSMS.