{
  "abstract": "p53 immunohistochemistry (IHC) is widely used as a rapid surrogate for detecting TP53 mutations, with TP53 mutations being a key biomarker for poor outcomes in lymphomas. We developed two algorithms using digital quantification tools to assess p53 expression from whole slide images of 77 lymphoma samples. An experienced pathologist visually evaluated the p53 slides, classifying cases as likely wild-type or mutated TP53 genotype. We correlated the results of the algorithms and visual inspection with the actual TP53 genotype. For cases with p53 overexpression (likely missense mutations), the algorithms achieved 86.7% sensitivity and 98.2% specificity (visual inspection: 80% and 95.2%). For cases with reduced p53 expression (likely ‘other’ mutations), the algorithms showed 92.7% sensitivity and 100% specificity (visual inspection: 40% and 95.8%). This study demonstrates that combining digital pathology with digital quantification tools-based algorithms can reliably predict TP53 genotype from p53 IHC patterns, with comparable or slightly superior performance to an experienced pathologist.",
  "authors": [
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA"
      ],
      "name": "Anisha Naik"
    },
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA"
      ],
      "name": "Aarti Kanzaria"
    },
    {
      "affiliations": [
        "Section of Pathology, Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA",
        "Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA"
      ],
      "name": "Xueyan Chen"
    },
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA"
      ],
      "name": "Navneet Kaur"
    },
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA"
      ],
      "name": "Chia-Chen (Joyce) Ho"
    },
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA",
        "Department of Medical Oncology, University of Washington, Seattle, Washington, USA"
      ],
      "name": "Stephen D Smith"
    },
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA",
        "Department of Medical Oncology, University of Washington, Seattle, Washington, USA"
      ],
      "name": "Ajay K Gopal"
    },
    {
      "affiliations": [
        "Department of Medical Oncology, Fred Hutch Cancer Center, Seattle, Washington, USA"
      ],
      "name": "Mazyar Shadman"
    },
    {
      "affiliations": [
        "Fred Hutchinson Cancer Center (FHCC), Seattle, Washington, USA",
        "Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA"
      ],
      "name": "Kikkeri N Naresh"
    }
  ],
  "title": "Digital pathology and image analysis of p53 biomarker in lymphomas using two algorithms: correlation with genotype and visual inspection",
  "uid": "01119775-a41b-5359-949e-49b51ad5d018"
}