Metabolomics

Dataset Information

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

PROVIDER: MTBLS1507 | MetaboLights | 2021-09-14

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
122_Dox_R1_10112016_13.CDF Other
122_NI_R1_10112016_12.CDF Other
122_Off_R1_10112016_14.CDF Other
130_Dox_R1_11112016_10.CDF Other
130_Dox_R2_11112016_11.CDF Other
Items per page:
1 - 5 of 148

Similar Datasets

2024-01-18 | MSV000093890 | MassIVE
2007-10-26 | E-GEOD-6434 | biostudies-arrayexpress
2020-07-24 | GSE60610 | GEO
2020-07-24 | GSE60609 | GEO
2011-04-04 | E-GEOD-28274 | biostudies-arrayexpress
2024-01-31 | GSE235445 | GEO
2013-01-18 | E-GEOD-43566 | biostudies-arrayexpress
2016-03-08 | E-GEOD-76675 | biostudies-arrayexpress
2007-10-04 | E-GEOD-349 | biostudies-arrayexpress
2014-07-31 | E-GEOD-41286 | biostudies-arrayexpress