Literature DB >> 31719099

Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution Perspective.

Seung Jun Shin1,2, Elissa B Dodd-Eaton2, Fan Gao2, Jasmina Bojadzieva3, Jingxiao Chen2, Xianhua Kong3, Christopher I Amos4, Jing Ning5, Louise C Strong3, Wenyi Wang6.   

Abstract

Li-Fraumeni syndrome (LFS) is a rare autosomal dominant disorder associated with TP53 germline mutations and an increased lifetime risk of multiple primary cancers (MPC). Penetrance estimation of time to first and second primary cancer within LFS remains challenging because of limited data and the difficulty of characterizing the effects of a primary cancer on the penetrance of a second primary cancer. Using a recurrent events survival modeling approach that incorporates a family-wise likelihood to efficiently integrate the pedigree structure, we estimated the penetrance for both first and second primary cancer diagnosis from a pediatric sarcoma cohort at MD Anderson Cancer Center [MDACC, Houston, TX; number of families = 189; single primary cancer (SPC) = 771; and MPC = 87]. Validation of the risk prediction performance was performed using an independent MDACC clinical cohort of TP53 tested individuals (SPC = 102 and MPC = 58). These findings showed that an individual diagnosed at a later age was more likely to be diagnosed with a second primary cancer. In addition, TP53 mutation carriers had a HR of 1.65 (95% confidence interval, 1.1-2.5) for developing a second primary cancer versus SPC. The area under the ROC (AUC) curve for predicting individual outcomes of MPC versus SPC was 0.77. In summary, we provide the first set of penetrance estimates for first and second primary cancer for TP53 germline mutation carriers and demonstrate its accuracy for cancer risk assessment. SIGNIFICANCE: These findings present an open-source R package LFSPRO that could be used for genetic counseling and health management of individuals with LFS as it estimates the risk of both first and second primary cancer diagnosis.See related article by Shin et al., p. 354. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31719099      PMCID: PMC6980737          DOI: 10.1158/0008-5472.CAN-19-0725

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  26 in total

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3.  Risks of first and subsequent cancers among TP53 mutation carriers in the National Cancer Institute Li-Fraumeni syndrome cohort.

Authors:  Phuong L Mai; Ana F Best; June A Peters; Rosamma M DeCastro; Payal P Khincha; Jennifer T Loud; Renée C Bremer; Philip S Rosenberg; Sharon A Savage
Journal:  Cancer       Date:  2016-08-06       Impact factor: 6.860

4.  Estimating TP53 Mutation Carrier Probability in Families with Li-Fraumeni Syndrome Using LFSPRO.

Authors:  Gang Peng; Jasmina Bojadzieva; Mandy L Ballinger; Jialu Li; Amanda L Blackford; Phuong L Mai; Sharon A Savage; David M Thomas; Louise C Strong; Wenyi Wang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-01-30       Impact factor: 4.254

5.  Psychosocial morbidity in TP53 mutation carriers: is whole-body cancer screening beneficial?

Authors:  Kate A McBride; Mandy L Ballinger; Timothy E Schlub; Mary-Anne Young; Martin H N Tattersall; Judy Kirk; Ros Eeles; Emma Killick; Leslie G Walker; Sue Shanley; David M Thomas; Gillian Mitchell
Journal:  Fam Cancer       Date:  2017-07       Impact factor: 2.375

6.  Biochemical and imaging surveillance in germline TP53 mutation carriers with Li-Fraumeni syndrome: 11 year follow-up of a prospective observational study.

Authors:  Anita Villani; Ari Shore; Jonathan D Wasserman; Derek Stephens; Raymond H Kim; Harriet Druker; Bailey Gallinger; Anne Naumer; Wendy Kohlmann; Ana Novokmet; Uri Tabori; Marta Tijerin; Mary-Louise C Greer; Jonathan L Finlay; Joshua D Schiffman; David Malkin
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  3 in total

1.  Breast Cancer Phenotype Associated With Li-Fraumeni Syndrome: A Brazilian Cohort Enriched by TP53 p.R337H Carriers.

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Journal:  Front Oncol       Date:  2022-03-16       Impact factor: 6.244

2.  A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome.

Authors:  Fan Gao; Xuedong Pan; Elissa B Dodd-Eaton; Carlos Vera Recio; Matthew D Montierth; Jasmina Bojadzieva; Phuong L Mai; Kristin Zelley; Valen E Johnson; Danielle Braun; Kim E Nichols; Judy E Garber; Sharon A Savage; Louise C Strong; Wenyi Wang
Journal:  Genome Res       Date:  2020-08-18       Impact factor: 9.043

3.  TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.

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Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

  3 in total

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