{
  "abstract": "We introduce a general phenomenological framework for understanding how phenotypic plasticity gives rise to drug persisters. These persisters, often quiescent but which sometimes return to cycling, survive in the presence of targeted therapy and eventually can lead to mutants with true resistance. Our framework builds on recent experimental observations regarding variations between and among single-cell clones and the possible role of the drug itself in enhancing the survival strategy. Predictions of our approach include the existence of an optimum drug concentration as well as an optimum drug holiday schedule to minimize the persistence-based threat.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Physics, Northeastern University, Boston, MA 02115",
    "Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115",
    "Department of Bioengineering, Northeastern University, Boston, MA 02115"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Ji Tae Park",
      "orcid": "0009-0005-1633-4173"
    },
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Herbert Levine",
      "orcid": "0000-0002-8819-9055"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/29srdawk4p6ch.bib",
  "cited_by": 3,
  "doi": "10.1073/pnas.2617783123",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13732087/",
  "id": "29srdawk4p6ch",
  "issns": [
    "0027-8424",
    "1091-6490"
  ],
  "landing_url": "https://doi.org/10.1073/pnas.2617783123",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "408"
    ],
    [
      "heading",
      "Biological Sciences"
    ],
    [
      "heading",
      "Biophysics and Computational Biology"
    ],
    [
      "heading",
      "Physical Sciences"
    ],
    [
      "openalex",
      "2611|Mathematical Biology Tumor Growth"
    ]
  ],
  "openalex": "W4406789320",
  "pdf_url": null,
  "pmcid": "PMC13732087",
  "pmid": "42945243",
  "published": "2026-10-27",
  "publisher": "National Academy of Sciences",
  "ris": "https://research.draconitic.com/paper/29srdawk4p6ch.ris",
  "sources": [
    {
      "first_seen": "2026-11-08T12:22:08Z",
      "native_id": "PMC13732087",
      "source": "pmc",
      "url": "https://doi.org/10.1073/pnas.2617783123"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "journal-openalex:1312|Genomics and Chromatin Dynamics",
      "subfield": "molecular-biology"
    }
  ],
  "title": "Modeling a continuum of drug-induced persistence during targeted cancer therapy",
  "title_text": "Modeling a continuum of drug-induced persistence during targeted cancer therapy",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T12:22:08Z",
  "url": "https://research.draconitic.com/paper/29srdawk4p6ch",
  "venue": "Proceedings of the National Academy of Sciences of the United States of America",
  "versions": []
}