{
  "abstract": "The use of comprehensive genomic profiling (CGP) in cancer, also known as cancer gene panel tests, continues to expand; however, the interpretation of the results of these tests requires a tremendous amount of manual work. To improve the efficiency of this evaluation process, we developed the CGP support software named Varporter. This software automatically imports multiple data files and can display various information contained within the CGP results. In tumor-only tests, TP53 variants often require pathogenicity evaluation as presumed germline pathogenic variants. Varporter enables the automated determination of several criteria in the Variant Interpretation Guidelines established by the ClinGen TP53 Variant Curation Expert Panel. Direct links to the websites on therapeutic evidence are also automatically generated from each variant, and multiple test reports can be summarized onto a single sheet, thus making it easy to review newly added variants to clinical trials. Varporter has made it possible to automate and streamline complicated manual tasks related to CGP evaluation and to redirect human resources to more essential tasks. Varporter is designed for use with two CGP tests covered by Japanese national health insurance, FoundationOne CDx and Guardant360 CDx.",
  "abstract_shown": true,
  "affiliations": [
    "Division of Medical Genome Sciences, Department of Genomic and Preventive Medicine, Sapporo Medical University School of Medicine",
    "Division of Medical Oncology, Department of Internal Medicine, Sapporo Medical University School of Medicine",
    "Division of Clinical Genomics, Department of Genomic and Preventive Medicine, Sapporo Medical University School of Medicine",
    "Division of Hematology, Department of Internal Medicine, Sapporo Medical University School of Medicine",
    "Department of Obstetrics and Gynecology, Sapporo Medical University School of Medicine",
    "Division of Gastroenterology and Hepatology, Department of Internal Medicine, Sapporo Medical University School of Medicine"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Masashi Idogawa"
    },
    {
      "affs": [
        1
      ],
      "name": "Kohichi Takada"
    },
    {
      "affs": [
        2
      ],
      "name": "Tasuku Mariya"
    },
    {
      "affs": [
        2
      ],
      "name": "Aki Ishikawa"
    },
    {
      "affs": [
        3
      ],
      "name": "Satoshi Iyama"
    },
    {
      "affs": [
        4
      ],
      "name": "Tsuyoshi Saito"
    },
    {
      "affs": [
        5
      ],
      "name": "Hiroshi Nakase"
    },
    {
      "affs": [
        3
      ],
      "name": "Masayoshi Kobune"
    },
    {
      "affs": [
        2
      ],
      "name": "Akihiro Sakurai"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9z08tkz7c21ef.bib",
  "cited_by": 0,
  "doi": "10.1038/s41439-026-00357-z",
  "fulltext_url": "https://doi.org/10.1038/s41439-026-00357-z",
  "id": "9z08tkz7c21ef",
  "issns": [
    "2054-345X"
  ],
  "landing_url": "https://doi.org/10.1038/s41439-026-00357-z",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "QH426-470"
    ],
    [
      "lcc",
      "QH501-531"
    ],
    [
      "openalex",
      "1311|Genomics and Rare Diseases"
    ]
  ],
  "openalex": "W7170243538",
  "pdf_url": "https://www.nature.com/articles/s41439-026-00357-z_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/9z08tkz7c21ef.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:46Z",
      "native_id": "841ae20afe194158b98753cf3dc1c671",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41439-026-00357-z"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1311|Genomics and Rare Diseases",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "Varporter: a software platform for comprehensive genomic profiling (CGP) in cancer",
  "title_text": "Varporter: a software platform for comprehensive genomic profiling (CGP) in cancer",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:46Z",
  "url": "https://research.draconitic.com/paper/9z08tkz7c21ef",
  "venue": "Human Genome Variation",
  "versions": []
}