ArticleiScience2023
Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Divergent transcriptional programs and constrained metabolic states reveal selective metabolic dependencies in chemoresistant luminal breast cancer.Cancer drug resistance (Alhambra, Calif.) · 2026Article
- Metabolic Features of Saliva Before and After Breast Cancer Surgery.Metabolites · 2025Article
- Integrative systems-level analysis reveals a contextual crosstalk between hypoxia and global metabolism in human breast tumors.Molecular oncology · 2025Article
- Protocol for performing metabolic pathway-based subtyping of breast tumors.STAR protocols · 2024Article
- Targeting SNRNP200-induced splicing dysregulation offers an immunotherapy opportunity for glycolytic triple-negative breast cancer.Cell discovery · 2024Article
- Lipidomics and metabolomics as potential biomarkers for breast cancer progression.npj metabolic health and disease · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extensive metabolic heterogeneity in breast cancers has limited the deployment of metabolic therapies. To enable patient stratification, we studied the metabolic landscape in breast cancers (∼3000 patients combined) and identified three subtypes with increasing degrees of metabolic deregulation. Subtype M1 was found to be dependent on bile-acid biosynthesis, whereas M2 showed reliance on methionine pathway, and M3 engaged fatty-acid, nucleotide, and glucose metabolism. The extent of metabolic alterations correlated strongly with tumor aggressiveness and patient outcome. This pattern was reproducible in independent datasets and using
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Registered trials
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.