{
  "abstract": "Metabolic reprogramming is a hallmark of cancer, yet dynamic metabolic flux has been difficult to study systematically. Here, we present FluxAtlas, a pan-cancer atlas of metabolic flux generated from genome-scale metabolic modeling of over 10,000 tumors across 28 The Cancer Genome Atlas (TCGA) cancer types. By integrating enzyme constraints and nutrient diffusion limits, we reveal conserved and tissue-specific metabolic rewiring, including alterations in bile acid recycling, urea metabolism, and amino acid biosynthesis. We identify a bile acid-associated program that remodels glutathione homeostasis and drives gastrointestinal-specific lipid metabolism. Comparisons with matched normal models uncover tumor-selective metabolic dependencies, such as increased reliance of renal cancers on de novo purine synthesis. Under nutrient limitation, modeling predicts convergence on glutamine-dependent aspartate synthesis while preserving tissue-specific metabolic states. Machine learning models based on fluxomics predict patient survival and highlight biotin uptake as a prognostic biomarker. FluxAtlas defines the functional metabolic landscape of human cancer and is accessible at https://software.icr.ac.uk/app/flux-atlas.",
  "abstract_shown": true,
  "affiliations": [
    "Signalling and Cancer Metabolism Laboratory, Division of Cell and Molecular Biology, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK",
    "Research Software Engineering Group, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Manas Kohli"
    },
    {
      "affs": [
        0
      ],
      "name": "Aurélien Tripp"
    },
    {
      "affs": [
        1
      ],
      "name": "Anastasiia Shcherbakova"
    },
    {
      "affs": [
        0
      ],
      "name": "George Poulogiannis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/69bj7x8k31gqz.bib",
  "cited_by": 0,
  "doi": "10.1016/j.celrep.2026.118029",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13714176/",
  "id": "69bj7x8k31gqz",
  "issns": [
    "2211-1247"
  ],
  "landing_url": "https://doi.org/10.1016/j.celrep.2026.118029",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Resource"
    ],
    [
      "openalex",
      "1306|Cancer, Hypoxia, and Metabolism"
    ]
  ],
  "openalex": "W7214158840",
  "pdf_url": null,
  "pmcid": "PMC13714176",
  "pmid": "42789385",
  "published": "2026-09-24",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/69bj7x8k31gqz.ris",
  "sources": [
    {
      "first_seen": "2026-11-01T12:21:43Z",
      "native_id": "PMC13714176",
      "source": "pmc",
      "url": "https://doi.org/10.1016/j.celrep.2026.118029"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:1306|Cancer, Hypoxia, and Metabolism",
      "subfield": "oncology"
    }
  ],
  "title": "FluxAtlas is a pan-cancer metabolic flux atlas that identifies tumor-selective dependencies and prognostic biomarkers",
  "title_text": "FluxAtlas is a pan-cancer metabolic flux atlas that identifies tumor-selective dependencies and prognostic biomarkers",
  "type": "peer-reviewed",
  "updated_at": "2026-11-01T12:21:43Z",
  "url": "https://research.draconitic.com/paper/69bj7x8k31gqz",
  "venue": "Cell Reports",
  "versions": []
}