Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolic memory underlying minimal residual disease in breast cancer

ABSTRACT:

Tumor relapse from treatment-resistant cells (minimal residual disease, MRD) underlies most breast cancer related deaths. Yet, the molecular characteristics defining their malignancy have largely remained elusive. Here we integrated multi-omics data from a tractable organoid system with a metabolic modelling approach to uncover the metabolic and regulatory idiosyncrasies of the MRD. We find that the resistant cells, despite their non-proliferative phenotype and the absence of oncogenic signaling, feature increased glycolysis and activity of certain urea cycle enzymes reminiscent of the tumor. This metabolic distinctiveness was also evident in a mouse model and in transcriptomic data from patients following neo-adjuvant therapy. We further identified a marked similarity in DNA methylation profiles between tumor and residual cells. Taken together, our data reveal a metabolic and epigenetic memory of the treatment-resistant cells. We further demonstrate that the memorized elevated glycolysis in MRD is crucial for their survival and can be targeted using a small molecule inhibitor without impacting normal cells. The metabolic aberrances of MRD thus offer new therapeutic opportunities for post-treatment care to prevent breast tumor recurrence.

INSTRUMENT(S): GC-(triple quadrupole)MS, TQ8040, Shimadzu

SUBMITTER: Eleni Kafkia

PROVIDER: MTBLS1507 | MetaboLights | 2021-09-14

REPOSITORIES: MetaboLights

ACCESS DATA

Json Xml

Similar Datasets

Awakening and Eliminating Dormant Cancer Cells: A Foundation for Resistance Removal and Recurrence-Free Recovery [RNA-seq]

Project description:Tumor therapy mainly targets the tumor bulk, but tends to fail to eradicate the small resistant population of dormant cancer cells (DCCs) that enable relapse and/or metastasis beyond therapy. Using chemoradiotherapy resistant assay and SETD4 expression of a histone lysine methyltransferase, DCCs with high capacity of tumor-initiation and tumorsphere formation were isolated from three types of breast tumors. Exogenous DEK, a nuclear protein, activated the DCCs by binding to open chromatin which decreased SETD4, up-regulated the MYC and down-regulated the P53 signaling pathways. DEK-containing exosomes in blood highly correlate with tumor progress and exosomal DEK promotes tumor relapse and metastasis beyond chemoradiotherapy. Beyond activation, these formerly dormant cancer cells lost their chemoradiotherapy resistance. In treatment of DEK-containing exosomes plus chemoradiotherapy in mice, three types of breast tumors were eliminated without recurrence. Prior DCCs reactivation, as triggered by exogenous DEK may provide treatment options that eliminate both metastasis and recurrence potential.

2024-01-07 | GSE164428 | GEO

Awakening and Eliminating Dormant Cancer Cells: A Foundation for Resistance Removal and Recurrence-Free Recovery [ChIP-seq]

2024-01-07 | GSE164427 | GEO

Awakening and Eliminating Dormant Cancer Cells: A Foundation for Resistance Removal and Recurrence-Free Recovery [ATAC-seq]

2024-01-07 | GSE164426 | GEO

Breast Cancer Stem Cells Regulated Metabolism Remodeling of Bulk Tumor Drives Immune Evasion

Project description:Reprogramming of energy metabolism plays pivotal roles in cancer progression and immune surveillance. Here, we demonstrated that hypoxic cancer cell secretome and breast cancer stem cell (BCSC) secretome similarly promoted the global reprogramming of metabolic pathways, particularly glycolysis, in normoxic cancer cells. Screening of BCSC secretome identified MIF as a pivotal factor potentiating glycolysis via transcriptional activation of ALDOC expression by MYC. Targeting MIF attenuated glycolysis as well as impaired tumor growth and metastasis. Cell-intrinsic MIF depletion in breast cancer augmented intratumoral cytolytic CD8+ T cells and pro-inflammatory macrophages while decreased tumor-associated neutrophils. Targeting MIF improved anti-PD-L1 immune checkpoint therapy of triple-negative breast cancer cells. Hence, this study presented a paradigm of heterocellular metabolic communication in modulating tumor energy metabolism and immune surveillance, and thereby proposes strategies to ameliorate immunotherapy in breast cancer.

2024-01-31 | GSE235445 | GEO

Real-time Monitoring of Cisplatin Toxicity on Cancer Cells

Project description:Treatment of MCF7 breast cancer cells by cisplatin leads to a very specific metabolic response and an onset of cell death about 10-11 h after beginning of treatment. For more detailed understanding of the molecular processes underlying the specific metabolic response, mRNA was isolated from MCF7 cells when the specific changes, (i) induction of glycolysis and (ii) onset of cell death, were detected during online measurement in the cell biosensor system. MCF7 breast cancer cells were treated with cisplatin in the BIONAS 2500 cell biosensor chip system, and samples were collected from the biosensor chip module at time points when glycolysis was induced (change of ph; 8-9h) and at the beginning of cell death (change of impedance; 10-11h).

2011-04-04 | E-GEOD-28274 | biostudies-arrayexpress

The Long Non Coding RNA SAMMSON is a regulator of chemosensitivity and metabolic orientation in doxorubicin resistant breast cancer cells

Project description:Despite improvements in therapeutic strategies for treating breast cancers, tumor relapse and chemoresistance remain major issues in patient outcomes. Indeed, cancer cells display a metabolic plasticity allowing a quick adaptation to tumoral microenvironment and to cellular stresses induced by chemotherapy. Recently, long non-coding RNA molecules (lncRNAs) have emerged as important regulators of cellular metabolic orientation. In the present study, we addressed the role of the long non-coding RNA molecule (lncRNA) SAMMSON on the metabolic reprogramming and chemoresistance of MCF-7 breast cancer cells resistant to doxorubicin (MCF-7dox). Our results showed an overexpression of SAMMSON in MCF-7dox compared to doxorubicin-sensitive cells (MCF-7). Silencing of SAMMSON expression by siRNA in MCF-7dox cells resulted in a metabolic rewiring with improvement of oxidative metabolism, decreased mitochondrial ROS production, increased mitochondrial replication, transcription and translation and an attenuation of chemoresistance. These results highlight the role of SAMMSON in the metabolic adaptations leading to the development of chemoresistance in breast cancer cells. Thus, targeting SAMMSON expression levels represents a promising therapeutic route to circumvent doxorubicin resistance in breast cancers.

2021-11-10 | GSE188404 | GEO

Targeting Unique Metabolic Properties of Breast Tumor Initiating Cells

Project description:Bulk cancer cell populations are known to display distinct metabolic properties compared to their normal counterparts. However, relatively little is known about heterogeneity of metabolic properties within tumors. In this study we show that, analogous to some normal stem cells, breast tumor initiating cells (TICs, also called cancer stem cells) have distinct metabolic properties compared to non-tumorigenic cancer cells (NTCs). Transcriptome profiling using RNA-Seq revealed TICs under-express genes involved in mitochondrial oxidative phosphorylation and although TICs are relatively quiescent, they preferentially perform glycolysis over oxidative phosphorylation compared to NTCs. TICs contain fewer mitochondria and display lower expression and activity of pyruvate dehydrogenase (Pdh), a key regulator of oxidative phosphorylation. Metabolic reprogramming of TICs by pharmacologic activation of Pdh preferentially eliminates TICs in vitro and in vivo. Our findings reveal unique metabolic properties of TICs and indicate that metabolic reprogramming represents a promising strategy for targeting these cells. Examination transcriptome profiles for breast tumor initiating cells (TICs) and non-tumorigenic cells (NTCs)

2014-07-31 | E-GEOD-41286 | biostudies-arrayexpress

SIRT3 opposes metabolic reprogramming of cancer cells through HIF1a destabilization

Project description:Tumor cells exhibit aberrant metabolism characterized by high glycolysis even in the presence of oxygen. This metabolic reprogramming, known as the Warburg effect, provides tumor cells with the substrates and redox potential required for the generation of biomass. Here, we show that the mitochondrial NAD-dependent deacetylase SIRT3 is a crucial regulator of the Warburg effect. SIRT3 loss promotes a metabolic profile consistent with high glycolysis required for anabolic processes in vivo and in vitro. Mechanistically, SIRT3 mediates metabolic reprogramming independently of mitochondrial oxidative metabolism and through HIF1a, a transcription factor that controls expression of key glycolytic enzymes. SIRT3 loss increases reactive oxygen species production, resulting in enhanced HIF1a stabilization. Strikingly, SIRT3 is deleted in 40% of human breast cancers, and its loss correlates with the upregulation of HIF1a target genes. Finally, we find that SIRT3 overexpression directly represses the Warburg effect in breast cancer cells. In sum, we identify SIRT3 as a regulator of HIF1a and a suppressor of the Warburg effect. RNA isolated from brown adipose tissue of SIRT3 WT and KO mice. 5 wild-type samples and 5 SIRT3 KO samples

2011-03-15 | E-GEOD-27309 | biostudies-arrayexpress

Genome-wide CRISPR-Cas9 screen identifies SLC1A3 as a key contributor to L-asparaginase Resistance in Solid tumors

Project description:L-asparaginase (ASNase) has been incorporated in the treatment of acute lymphoblastic leukemia for decades. However, intolerable toxicity due to increasing ASNase dosage has been observed in clinical trials with solid tumors. Here, we performed a genome-wide CRISPR-Cas9 functional screen in ASNase-resistant PC3 prostate cancer cells and identified SLC1A3, an aspartate transporter highly expressed in brain tissues but also in several tumor types. Interestingly, combined ASNase treatment and SLC1A3 inhibition caused cell cycle arrest and metabolic alterations in the urea cycle, nucleotide synthesis, energy production by both TCA cycle and glycolysis, and impaired lipid metabolism. Additionally, the introduction of SLC1A3 into SLC1A3-negative mouse and human breast cancer cells increased tumor and metastasis burden, and promoted ASNase tolerance in vitro and in vivo. These findings uncover an important role of SLC1A3 in ASNase resistance and indicated limited aspartate uptake for enhancement of ASNase efficacy with solid tumors.

2019-07-11 | GSE134074 | GEO

Azithromycin promotes relapse by disrupting immune and metabolic networks after allogeneic stem cell transplantation

Project description:Administration of azithromycin after allogeneic hematopoietic stem cell transplantation for hematological malignancies has been associated with relapse in a randomized phase 3 controlled clinical trial. Studying 240 samples from patients randomized in this trial is a unique opportunity to better understand the mechanisms underlying relapse, the first cause of mortality after transplantation. We used multi-omics on patients' samples to decipher immune alterations associated with azithromycin intake and post-transplant relapsed malignancies. Azithromycin was associated with a network of altered energy metabolism pathways and immune subsets, including T cells biased toward immunomodulatory and exhausted profiles. In vitro, azithromycin exposure inhibited T cells cytotoxicity against tumor cells and impaired T cells metabolism through glycolysis inhibition, mitochondrial genes downregulation, and immunomodulatory genes upregulation, notably SOCS1. These results highlight that azithromycin directly affects immune cells that favor relapse, which raises caution about long-term use of azithromycin treatment in patients at high risk of malignancies.

2022-08-22 | MTBLS406 | MetaboLights

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data