{
    "abstract": "A previous cancer diagnosis can preclude patients from consideration for solid organ transplantation. Statistical models may improve candidate selection. We fitted statistical cure models and estimated 5-year cancer-specific survival (5yCSS) for colorectal cancer patients in the United States using registry data. The median cure probability at cancer diagnosis for patients in the general population was 0.67. Among 956 colorectal cancer patients who underwent solid organ transplantation, the median time since diagnosis was 6.3 years and the median 5yCSS at transplantation was 0.96. Patients with a 5yCSS below 0.90 had increased posttransplant cancer-specific mortality (hazard ratio 3.31, 95% CI 1.52-7.21). Compared with recently published guidelines, our models suggested shorter wait times for some groups of colorectal cancer patients (eg, stage IIA cancers) and longer wait times for others (stages IIB, IIIB, IIIC, IV). In conclusion, colorectal cancer patients undergoing solid organ transplantation had excellent prognoses, reflecting selection incorporating existing guidelines and clinical judgment. Nonetheless, 5yCSS probabilities estimated from cure models offer additional prognostic information for patients considered for transplantation and identify situations where current guidelines might be revised. We developed a web-based tool for clinicians to calculate 5yCSS probabilities for use in transplant evaluation for individual colorectal cancer patients (https://dceg.cancer.gov/tools/risk-assessment/calculator-of-colorectal-cancer-survival-probability).",
    "authors": [
        {
            "affiliation": "Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA. Electronic address: engelse@exchange.nih.gov.",
            "firstname": "Eric A",
            "initials": "EA",
            "lastname": "Engels"
        },
        {
            "affiliation": "Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA; Department of Population Health, New York University, New York, New York, USA.",
            "firstname": "Soutrik",
            "initials": "S",
            "lastname": "Mandal"
        },
        {
            "affiliation": "Division of Research, Kaiser Permanente, Oakland, California, USA.",
            "firstname": "Douglas A",
            "initials": "DA",
            "lastname": "Corley"
        },
        {
            "affiliation": "Department of Medicine, University of Washington and Seattle Children's Hospital, Seattle, Washington, USA.",
            "firstname": "Christopher D",
            "initials": "CD",
            "lastname": "Blosser"
        },
        {
            "affiliation": "Scientific Registry of Transplant Recipients and Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA.",
            "firstname": "Allyson",
            "initials": "A",
            "lastname": "Hart"
        },
        {
            "affiliation": "Department of Epidemiology, The University of Iowa, Iowa City, Iowa, USA.",
            "firstname": "Charles F",
            "initials": "CF",
            "lastname": "Lynch"
        },
        {
            "affiliation": "Bureau of Cancer Epidemiology, New York State Department of Health, Albany, New York, USA.",
            "firstname": "Baozhen",
            "initials": "B",
            "lastname": "Qiao"
        },
        {
            "affiliation": "Cancer Epidemiology Services, New Jersey Department of Health, Trenton, New Jersey, USA.",
            "firstname": "Karen S",
            "initials": "KS",
            "lastname": "Pawlish"
        },
        {
            "affiliation": "National Institute of Standards and Technology, Gaithersburg, Maryland, USA.",
            "firstname": "Gregory",
            "initials": "G",
            "lastname": "Haber"
        },
        {
            "affiliation": "Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.",
            "firstname": "Kelly J",
            "initials": "KJ",
            "lastname": "Yu"
        },
        {
            "affiliation": "Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.",
            "firstname": "Ruth M",
            "initials": "RM",
            "lastname": "Pfeiffer"
        }
    ],
    "conclusions": null,
    "copyrights": "Published by Elsevier Inc.",
    "doi": "10.1016/j.ajt.2024.08.018",
    "journal": "American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons",
    "keywords": [
        "colorectal cancer",
        "mortality",
        "risk assessment",
        "transplant outcomes",
        "waitlist"
    ],
    "methods": null,
    "publication_date": "2024-08-26",
    "pubmed_id": "39182612\n22045767\n17617273\n18026089\n9869873\n32304427\n21196904\n27101077\n36804133\n32301874\n25085497\n24716201\n32976703\n32969590\n32984907\n22675175\n24042025\n34678077\n30624768\n19424035\n26077242\n37494056\n34506756",
    "results": null,
    "title": "Cure models, survival probabilities, and solid organ transplantation for patients with colorectal cancer.",
    "xml": "<Element 'PubmedArticle' at 0x788504748f90>"
}