{
  "abstract": "Cancer cell lines are widely used to investigate cancer-associated mutations and evaluate candidate therapeutic compounds, but selecting an appropriate model carrying a specific mutation can be challenging. A genome-wide analysis of somatic mutations across 1020 human cancer cell lines from the COSMIC Cell Lines Project was performed to establish a gene- and variant-centric approach for experimental model selection. Transcript-specific annotations were normalised to gene symbols, and redundant transcript-derived records were removed. The resulting dataset contained 3,937,879 unique somatic mutation events affecting 18,885 genes, including 95,307 mutation events across 579 Cancer Gene Census Tier 1 genes. Substantial variation in mutation burden was observed among cell lines, while recurrent cancer-associated genes, including TP53, KRAS, BRAF, EGFR and PIK3CA, were represented across multiple models. Importantly, the cell line containing the greatest number of alterations in a cancer-associated gene did not necessarily carry the specific driver mutation required for a particular experimental question. Representative driver variants were therefore used to demonstrate a variant-centric selection strategy in which cell lines carrying the specific alteration of interest are identified rather than models being selected solely according to gene-specific mutation count. This approach distinguishes descriptive gene-level mutation ranking from variant-specific experimental model selection and provides a systematic framework for identifying genetically appropriate candidate cell lines for functional studies and compound testing.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Ali F Alsulami",
      "orcid": "0000-0002-6696-7770"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/b0smtnf59j072.bib",
  "cited_by": 0,
  "doi": "10.3390/ijms27198636",
  "fulltext_url": "https://europepmc.org/articles/PMC13664858",
  "id": "b0smtnf59j072",
  "issns": [
    "1422-0067"
  ],
  "landing_url": "https://europepmc.org/article/MED/42883885",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1306|Cancer Genomics and Diagnostics"
    ]
  ],
  "openalex": "W7214575488",
  "pdf_url": "https://europepmc.org/articles/PMC13664858?pdf=render",
  "pmcid": "PMC13664858",
  "pmid": "42883885",
  "published": "2026-09-27",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/b0smtnf59j072.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:16Z",
      "native_id": "MED:42883885",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42883885"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:1306|Cancer Genomics and Diagnostics",
      "subfield": "oncology"
    }
  ],
  "title": "Genome-Wide Characterisation of Somatic Mutations Across COSMIC Cancer Cell Lines Enables Gene-Centric Experimental Model Selection.",
  "title_text": "Genome-Wide Characterisation of Somatic Mutations Across COSMIC Cancer Cell Lines Enables Gene-Centric Experimental Model Selection.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:16Z",
  "url": "https://research.draconitic.com/paper/b0smtnf59j072",
  "venue": "International journal of molecular sciences",
  "versions": []
}