Evidence map›Paper›PMID 28504653›Full record

ArticleThe Journal of clinical investigation2017

Metabolic shifts in residual breast cancer drive tumor recurrence.

Kristina M Havas, Vladislava Milchevskaya, Ksenija Radic, Ashna Alladin, Eleni Kafkia, Marta Garcia, Jens Stolte, Bernd Klaus, Nicole Rotmensz, Toby J Gibson and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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

101 citing papers in PubMed, 172 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
  8. Metabolic Regulation of Ferroptosis in Breast Cancer.International journal of molecular sciences · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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
  15. Review
  16. Review
  17. Article
  18. Article
  19. Biophotonics discovery · 2024
    Article
  20. Article

41 more citing papers are in PubMed but not listed here.

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

16 authors at 4 institutions in 2 countries.

Kristina M HavasEMBL Monterotondo, Adriano Buzzati-Traverso Campus, Monterotondo, Italy.
Vladislava MilchevskayaEMBL Heidelberg, Heidelberg, Germany.
Ksenija RadicEMBL Heidelberg, Heidelberg, Germany.
Ashna AlladinEMBL Heidelberg, Heidelberg, Germany.
Eleni KafkiaEMBL Heidelberg, Heidelberg, Germany.
Marta GarciaEMBL Heidelberg, Heidelberg, Germany.
Jens StolteEMBL Monterotondo, Adriano Buzzati-Traverso Campus, Monterotondo, Italy.
Bernd KlausEMBL Heidelberg, Heidelberg, Germany.
Nicole RotmenszDivision of Epidemiology and Biostatistics European Institute of Oncology, Milan, Italy.
Toby J GibsonEMBL Heidelberg, Heidelberg, Germany.
Barbara BurwinkelMolecular Biology of Breast Cancer, University Women's Clinic, Heidelberg, Germany.
Andreas SchneeweissGynecologic Oncology, National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany.
Giancarlo PruneriDepartment of Pathology, Biobank for Translational Medicine Unit, European Institute of Oncology, Milan and University of Milan, School of Medicine, Milan, Italy.
Kiran R PatilEMBL Heidelberg, Heidelberg, Germany.
Rocio SotilloEMBL Monterotondo, Adriano Buzzati-Traverso Campus, Monterotondo, Italy.
Martin JechlingerEMBL Monterotondo, Adriano Buzzati-Traverso Campus, Monterotondo, Italy.
European Molecular Biology Laboratory · ITEuropean Institute of Oncology · ITGerman Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor recurrence is the leading cause of breast cancer-related death. Recurrences are largely driven by cancer cells that survive therapeutic intervention. This poorly understood population is referred to as minimal residual disease. Here, using mouse models that faithfully recapitulate human disease together with organoid cultures, we have demonstrated that residual cells acquire a transcriptionally distinct state from normal epithelium and primary tumors. Gene expression changes and functional characterization revealed altered lipid metabolism and elevated ROS as hallmarks of the cells that survive tumor regression. These residual cells exhibited increased oxidative DNA damage, potentiating the acquisition of somatic mutations during hormonal-induced expansion of the mammary cell population. Inhibition of either cellular fatty acid synthesis or fatty acid transport into mitochondria reduced cellular ROS levels and DNA damage, linking these features to lipid metabolism. Direct perturbation of these hallmarks in vivo, either by scavenging ROS or by halting the cyclic mammary cell population expansion, attenuated tumor recurrence. Finally, these observations were mirrored in transcriptomic and histological signatures of residual cancer cells from neoadjuvant-treated breast cancer patients. These results highlight the potential of lipid metabolism and ROS as therapeutic targets for reducing tumor recurrence in breast cancer patients.

Indexed as

AnimalsAntineoplastic AgentsBreast NeoplasmsCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansLapatinibLipid MetabolismMetabolic Networks and PathwaysMiceNeoplasm Recurrence, LocalNeoplasm, ResidualOxidative StressProgesteroneQuinazolinesAntineoplastic AgentsLapatinibProgesteroneQuinazolinesReactive Oxygen Species

Identifiers

PMID28504653
PMCPMC5451224
OpenAlexW2613512560

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.