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Risk of differential cancer types over age in families with Li-Fraumeni syndrome: a validation study using multi-center cohorts

Seung Jun ShiniD, Elissa B. Dodd-Eaton, Gang PengiD, Jasmina BojadzievaiD, Jingxiao CheniD, Chris I. AmosiD, Phuong L. MaiiD, Sharon A. SavageiD, Mandy L. BallingeriD, David Morgan ThomasiD, Ying YuaniD, Louise C. StrongiD, Wenyi WangiD

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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. 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 of LFS. Our competing risk-based statistical model incorporates the pedigree structure efficiently into the penetrance estimation and corrects for the ascertainment bias. A set of TP53 penetrance for three cancer types (breast, BR/sarcoma, SA/others, OT) involved in LFS is then estimated from 186 pediatric-sarcoma families collected at MD Anderson Cancer Center. The penetrance was then validated on a mixed cohort of clinically ascertained families with cancer (total number of families=668). The age-dependent onset probability distributions of specific cancer types are different. For breast cancer, the TP53 penetrance goes up at an earlier age than the reported BRCA1/2 penetrance. We validated the prediction performance of the penetrance estimates via two independent cohorts combined (BR=85, SA=540, OT=158). We obtained areas under the ROC curves (AUCs) of 0.92 (BR), 0.75 (SA), and 0.81 (OT). Our R package, LFSPRO, provides risk estimates for the diagnosis of breast cancer, sarcoma, other cancers or death before cancer diagnosis in future.\n\nSignificanceCancer-specific penetrance can facilitate clinical characterization of LFS and will contribute to the management of families at high risk of LFS.

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Seung Jun Shin, Elissa B. Dodd-Eaton, Fan Gao+7 more·Cancer Research·Nov 12, 2019· 18 citations