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Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter Cohorts.
Shin, Seung Jun; Dodd-Eaton, Elissa B; Peng, Gang; Bojadzieva, Jasmina; Chen, Jingxiao; Amos, Christopher I; Frone, Megan N; Khincha, Payal P; Mai, Phuong L; Savage, Sharon A; Ballinger, Mandy L; Thomas, David M; Yuan, Ying; Strong, Louise C; Wang, Wenyi.
Afiliación
  • Shin SJ; Department of Statistics, Korea University, Seoul, South Korea.
  • Dodd-Eaton EB; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Peng G; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Bojadzieva J; Department of Biostatistics, Yale University, New Haven, Connecticut.
  • Chen J; Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Amos CI; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Frone MN; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas.
  • Khincha PP; Clinical Genetics Branch, Division of Cancer Genetic and Epidemiology, NCI, Bethesda, Maryland.
  • Mai PL; Clinical Genetics Branch, Division of Cancer Genetic and Epidemiology, NCI, Bethesda, Maryland.
  • Savage SA; Cancer Genetics Program, Magee Womens Hospital, Pittsburgh, Pennsylvania.
  • Ballinger ML; Clinical Genetics Branch, Division of Cancer Genetic and Epidemiology, NCI, Bethesda, Maryland.
  • Thomas DM; The Kinghorn Cancer Center and Garvan Institute of Medical Research, Darlinghurst, Australia.
  • Yuan Y; The Kinghorn Cancer Center and Garvan Institute of Medical Research, Darlinghurst, Australia.
  • Strong LC; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Wang W; Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Cancer Res ; 80(2): 354-360, 2020 01 15.
Article en En | MEDLINE | ID: mdl-31719101
ABSTRACT
Li-Fraumeni syndrome (LFS) is a rare hereditary cancer syndrome associated with an autosomal-dominant mutation inheritance in the TP53 tumor suppressor gene and a wide spectrum of cancer diagnoses. The previously developed R package, LFSPRO, is capable of estimating the risk of an individual being a TP53 mutation carrier. However, an accurate estimation of the penetrance of different cancer types in LFS is crucial to improve the clinical characterization and management of high-risk individuals. Here, we developed a competing risk-based statistical model that incorporates the pedigree structure efficiently into the penetrance estimation and corrects for ascertainment bias while also increasing the effective sample size of this rare population. This enabled successful estimation of TP53 penetrance for three LFS cancer types breast (BR), sarcoma (SA), and others (OT), from 186 pediatric sarcoma families collected at MD Anderson Cancer Center (Houston, TX). Penetrance validation was performed on a combined dataset of two clinically ascertained family cohorts with cancer to overcome internal bias in each (total number of families = 668). The age-dependent onset probability distributions of specific cancer types were different. For breast cancer, the TP53 penetrance went up at an earlier age than the reported BRCA1/2 penetrance. The prediction performance of the penetrance estimates was validated by the combined independent cohorts (BR = 85, SA = 540, and OT = 158). Area under the ROC curves (AUC) were 0.92 (BR), 0.75 (SA), and 0.81 (OT). The new penetrance estimates have been incorporated into the current LFSPRO R package to provide risk estimates for the diagnosis of breast cancer, sarcoma, or other cancers.

SIGNIFICANCE:

These findings provide specific penetrance estimates for LFS-associated cancers, which will likely impact the management of families at high risk of LFS.See related article by Shin et al., p. 347.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Primarias Secundarias / Síndrome de Li-Fraumeni Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: Cancer Res Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Primarias Secundarias / Síndrome de Li-Fraumeni Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Child / Humans Idioma: En Revista: Cancer Res Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur