Unknown

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 modeling 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 enzyme 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.

SUBMITTER: Radic Shechter K 

PROVIDER: S-EPMC8543468 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications


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 modeling 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  ...[more]

Similar Datasets

| S-BSST713 | biostudies-other
2021-09-14 | MTBLS1507 | MetaboLights
| S-EPMC3262191 | biostudies-literature
| S-EPMC6416940 | biostudies-literature
| S-EPMC7654718 | biostudies-literature
| S-EPMC8262282 | biostudies-literature
| S-EPMC11275633 | biostudies-literature
| S-EPMC5543854 | biostudies-other
2024-08-06 | GSE242746 | GEO
2021-05-05 | GSE162714 | GEO