Evidence map›Paper›PMID 34694069›Full record

ArticleMolecular systems biology2021

Metabolic memory underlying minimal residual disease in breast cancer.

Ksenija Radic Shechter, Eleni Kafkia, Katharina Zirngibl, Sylwia Gawrzak, Ashna Alladin, Daniel Machado, Christian Lüchtenborg, Daniel C Sévin, Britta Brügger, Kiran R Patil and 1 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.Journal of experimental & clinical cancer research : CR · 2025
    Review
  4. Structural variant and nucleosome occupancy dynamics postchemotherapy in a HER2+ breast cancer organoid model.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Review
  7. Metabolic memory: mechanisms and diseases.Signal transduction and targeted therapy · 2024
    Review
  8. Article
  9. A new metabolic model ofLife science alliance · 2023
    Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ksenija Radic ShechterEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0003-3139-9184
Eleni KafkiaEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Katharina ZirngiblEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-7518-0339
Sylwia GawrzakEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-7047-3319
Ashna AlladinEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Daniel MachadoEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-2063-5383
Christian LüchtenborgBiochemie-Zentrum der Universität Heidelberg (BZH), Heidelberg, Germany.
Daniel C SévinCellzome GmbH, Functional Genomics, GlaxoSmithKline, Heidelberg, Germany.
Britta BrüggerBiochemie-Zentrum der Universität Heidelberg (BZH), Heidelberg, Germany.
Kiran R PatilEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-6166-8640
Martin JechlingerEuropean Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID 0000-0002-3710-4466

Funding

Medical Research Council MC_UU_00025/11
6 · The paper itself

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.

Indexed as

Breast NeoplasmsAnimalsFemaleHumansMiceNeoplasm Recurrence, LocalNeoplasm, Residualglycolysismetabolic modelingmulti-omics integrationoncogenic memoryorganoids

Identifiers

PMID34694069
PMCPMC8543468

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.