Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • Sex Differences in Medicine (Sep 2024)
    • Vascular Malformations (Apr 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Metabolic shifts in residual breast cancer drive tumor recurrence
Kristina M. Havas, … , Rocio Sotillo, Martin Jechlinger
Kristina M. Havas, … , Rocio Sotillo, Martin Jechlinger
Published May 15, 2017
Citation Information: J Clin Invest. 2017;127(6):2091-2105. https://doi.org/10.1172/JCI89914.
View: Text | PDF
Research Article Metabolism Oncology

Metabolic shifts in residual breast cancer drive tumor recurrence

  • Text
  • PDF
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.

Authors

Kristina M. Havas, Vladislava Milchevskaya, Ksenija Radic, Ashna Alladin, Eleni Kafkia, Marta Garcia, Jens Stolte, Bernd Klaus, Nicole Rotmensz, Toby J. Gibson, Barbara Burwinkel, Andreas Schneeweiss, Giancarlo Pruneri, Kiran R. Patil, Rocio Sotillo, Martin Jechlinger

×

Figure 7

Lipid phenotype of neoadjuvant-treated breast cancers.

Options: View larger image (or click on image) Download as PowerPoint
Lipid phenotype of neoadjuvant-treated breast cancers.
Network plot for ...
Network plot for all reactome pathways under the term “Metabolism of lipids and lipoproteins,” which are significantly deregulated in at least one of 4 assays: MYC/KRAS, MYC/NEU, GSE32072, or RNA-seq. Strong significance threshold for mouse assays, P < 0.005, and human assays, 0.05. Significance threshold for mouse assays, P < 0.05, and human assays, P < 0.1. Pathway significance is colored by its best P value in the mouse assays.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts