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Article

Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology - 20 Jun 2024

Nguyen Nam H, Dodd-Eaton Elissa B, Corredor Jessica L, Woodman-Ross Jacynda, Green Sierra, Gutierrez Angelica M, Arun Banu K, Wang Wenyi

Abstract excerpt

PURPOSE: There exists a barrier between developing and disseminating risk prediction models in clinical settings. We hypothesize that this barrier may be lifted by demonstrating the utility of these models using incomplete data that are collected in real clinical sessions, as compared with the commonly used research cohorts that are meticulously collected. MATERIALS AND METHODS: Genetic counselors (GCs) collect...

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Share to Genes, p53
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Germ-Line Mutation

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Share to Neoplasms, Multiple Primary

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Share to Tumor Suppressor Protein p53

Source

Open in PubMed Open full text

Identifiers

PMID: 38569124
DOI: 10.1200/JCO.23.01926
PMCID: PMC11191065

Genes

TP53
CS

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

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Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data.PMID 38569124Read ↗

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