TY - JOUR
T1 - Penetrance of different cancer types in families with Li-Fraumeni syndrome
T2 - A validation study using multicenter cohorts
AU - Shin, Seung Jun
AU - Dodd-Eaton, Elissa B.
AU - Peng, Gang
AU - Bojadzieva, Jasmina
AU - Chen, Jingxiao
AU - Amos, Christopher I.
AU - Frone, Megan N.
AU - Khincha, Payal P.
AU - Mai, Phuong L.
AU - Savage, Sharon A.
AU - Ballinger, Mandy L.
AU - Thomas, David M.
AU - Yuan, Ying
AU - Strong, Louise C.
AU - Wang, Wenyi
N1 - Funding Information:
S.J. Shin, E.B. Dodd-Eaton, and W. Wang were supported in part by the Cancer Prevention Research Institute of Texas through grant number RP130090. S.J. Shin was supported in part by National Research Foundation of Korea funded by the Korea government (MSIT) through grant number 2019R1A4A1028134. E.B. Dodd-Eaton and W. Wang were supported in part by the U.S. NCI through grant numbers 1R01 CA183793, 1R01 CA174206, and 2R01 CA158113. W. Wang was supported in part by U.S. NCI grant number P30CA016672. G. Peng was supported in part by the U.S. NCI grant numbers 3P50CA196530 and 3P30CA016359. J. Chen was supported by U.S. NCI grant number 1R01 CA183793. The work of S.A. Savage, P.L. Mai, M.N. Frone, and P.P. Khincha was supported by the intramural research program of the Division of Cancer Epidemiology and Genetics, NCI. J. Bojadzieva and L.C. Strong were supported in part by the U.S. NIH through grant number P01CA34936. M.L. Ballinger was supported by the Cancer Institute NSW Career Development Fellowship 2018/ CDF004. D.M. Thomas was supported in part by the Australian Government NHMRC Principal Research Fellowship 1104364, NHMRC project grant GNT1125042, and Rainbows for Kate Foundation. C.I. Amos was supported by the U.S. NCI 1U01CA196386, CA196386S1, and 1R01CA186566. C.I. Amos would also like to thank the CPRIT RR170048 grant and the U.S. NCI U19CA203654 and U19CA203654S1 grants for their additional funding. Y. Yuan was supported by the University of Texas MD Anderson grant CA016672. We thank Dr. Banu Arun and Jessica Ross for their helpful comments.
Funding Information:
S.J. Shin, E.B. Dodd-Eaton, and W. Wang were supported in part by the Cancer Prevention Research Institute of Texas through grant number RP130090. S.J. Shin was supported in part by National Research Foundation of Korea funded by the Korea government (MSIT) through grant number 2019R1A4A1028134. E.B. Dodd-Eaton and W. Wang were supported in part by the U.S. NCI through grant numbers 1R01
Funding Information:
CA183793, 1R01 CA174206, and 2R01 CA158113. W. Wang was supported in part by U.S. NCI grant number P30CA016672. G. Peng was supported in part by the U.S. NCI grant numbers 3P50CA196530 and 3P30CA016359. J. Chen was supported by U.S. NCI grant number 1R01 CA183793. The work of S.A. Savage, P.L. Mai, M.N. Frone, and P.P. Khincha was supported by the intramural research program of the Division of Cancer Epidemiology and Genetics, NCI. J. Bojadzieva and L.C. Strong were supported in part by the U.S. NIH through grant number P01CA34936. M.L. Ballinger was supported by the Cancer Institute NSW Career Development Fellowship 2018/ CDF004. D.M. Thomas was supported in part by the Australian Government NHMRC Principal Research Fellowship 1104364, NHMRC project grant GNT1125042, and Rainbows for Kate Foundation. C.I. Amos was supported by the U.S. NCI 1U01CA196386, CA196386S1, and 1R01CA186566. C.I. Amos would also
Publisher Copyright:
© 2019 American Association for Cancer Research.
PY - 2020/1/15
Y1 - 2020/1/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85077916711&partnerID=8YFLogxK
U2 - 10.1158/0008-5472.CAN-19-0728
DO - 10.1158/0008-5472.CAN-19-0728
M3 - Article
C2 - 31719101
AN - SCOPUS:85077916711
SN - 0008-5472
VL - 80
SP - 354
EP - 360
JO - Cancer Research
JF - Cancer Research
IS - 2
ER -