{
  "abstract": "Current methods for distinguishing neutral from selection-driven tumour evolution rely on assumptions frequently violated in clinical samples. We argue that tumour evolution is not a binary state, but a dynamic continuum shaped by genetic and non-genetic heterogeneity, spatial constraints, microenvironmental pressures and therapeutic bottlenecks. Refining evolutionary inference through integrative, longitudinal and spatially resolved analyses will be essential to align these models with therapeutic decision-making in precision oncology.",
  "abstract_shown": true,
  "affiliations": [
    "Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK",
    "Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA USA",
    "Broad Institute of MIT and Harvard, Cambridge, MA USA",
    "Harvard Medical School, Boston, MA USA",
    "Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK"
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0,
        1,
        2,
        3
      ],
      "name": "Amit Sud"
    },
    {
      "affs": [
        4
      ],
      "name": "Richard S. Houlston"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/czv9thnmc7ycc.bib",
  "cited_by": 0,
  "doi": "10.1038/s41698-026-01606-8",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13728168/",
  "id": "czv9thnmc7ycc",
  "issns": [
    "2397-768X"
  ],
  "landing_url": "https://doi.org/10.1038/s41698-026-01606-8",
  "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",
      "Review"
    ],
    [
      "openalex",
      "1306|Cancer Genomics and Diagnostics"
    ]
  ],
  "openalex": "W7167935163",
  "pdf_url": "https://www.nature.com/articles/s41698-026-01606-8_reference.pdf",
  "pmcid": "PMC13728168",
  "pmid": "42432191",
  "published": "2026-07-10",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/czv9thnmc7ycc.ris",
  "sources": [
    {
      "first_seen": "2026-11-06T12:23:54Z",
      "native_id": "PMC13728168",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s41698-026-01606-8"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:1306|Cancer Genomics and Diagnostics",
      "subfield": "oncology"
    }
  ],
  "title": "Moving beyond the neutral-Darwinian dichotomy to inform precision oncology",
  "title_text": "Moving beyond the neutral-Darwinian dichotomy to inform precision oncology",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T12:21:12Z",
  "url": "https://research.draconitic.com/paper/czv9thnmc7ycc",
  "venue": "NPJ Precision Oncology",
  "versions": []
}