Literature DB >> 29529297

Differences in TP53 Mutation Carrier Phenotypes Emerge From Panel-Based Testing.

Huma Q Rana1,2, Rebecca Gelman3,2, Holly LaDuca4, Rachel McFarland4, Emily Dalton4, Jennifer Thompson4, Virginia Speare4, Jill S Dolinsky4, Elizabeth C Chao4,5, Judy E Garber1,2.   

Abstract

Background: Li-Fraumeni syndrome (LFS) has traditionally been identified by single-gene testing (SGT) of TP53 triggered by clinical criteria, but the widespread use of multigene panel tests (MGPTs) has upended this paradigm. We sought to compare the personal and family cancer histories of TP53-positive result (TP53+) carriers who were identified by either MGPT or SGT.
Methods: Of 44 310 individuals who underwent testing of TP53 in a single clinical diagnostic laboratory between 2010 and 2014, 44 086 (40 885 MGPT and 3201 SGT) met study eligibility criteria. Personal cancer histories were available for 38 938 subjects. The frequency of germline TP53 results and various phenotypic manifestations were compared according to test type. All statistical tests were two-sided.
Results: MGPT TP53+ individuals (n = 126) had an older median age at first cancer than SGT TP53+ carriers (n = 96; women: median = 36 vs 28 years, P < .001; and men: median = 40 vs 15 years, P = .004). The median age of breast cancer diagnosis was 40 years in MGPT TP53+ women vs 33 years in SGT TP53+ women (P < .001). In both cohorts, childhood and LFS core cancers, and for women, multiple primary cancers (not multiple breast tumors), were associated with TP53+ results. Established LFS testing criteria were less often met by MGPT TP53+ individuals. Conclusions: MGPT TP53+ individuals differ in phenotype from those ascertained through SGT and are notably older at cancer diagnosis and less likely to meet LFS clinical criteria. These findings suggest that LFS may have a greater phenotypic spectrum than previously appreciated. This has implications for the counseling of MGPT TP53+ individuals. Prospective follow-up of these individuals and families is needed to re-evaluate cancer risks.

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Year:  2018        PMID: 29529297     DOI: 10.1093/jnci/djy001

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  23 in total

1.  Use of Big Data to Estimate Prevalence of Defective DNA Repair Variants in the US Population.

Authors:  Jennifer Pugh; Sikandar G Khan; Deborah Tamura; Alisa M Goldstein; Maria Teresa Landi; John J DiGiovanna; Kenneth H Kraemer
Journal:  JAMA Dermatol       Date:  2019-01-01       Impact factor: 10.282

2.  Exploring the effect of ascertainment bias on genetic studies that use clinical pedigrees.

Authors:  John Michael O Ranola; Ginger J Tsai; Brian H Shirts
Journal:  Eur J Hum Genet       Date:  2019-07-11       Impact factor: 4.246

3.  Testing Positive on a Multigene Panel Does Not Suffice to Determine Disease Risks.

Authors:  Hormuzd A Katki; Mark H Greene; Maria Isabel Achatz
Journal:  J Natl Cancer Inst       Date:  2018-08-01       Impact factor: 13.506

4.  A Pragmatic Testing-Eligibility Framework for Population Mutation Screening: The Example of BRCA1/2.

Authors:  Ana F Best; Margaret A Tucker; Megan N Frone; Mark H Greene; June A Peters; Hormuzd A Katki
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-01-28       Impact factor: 4.254

5.  Inherited TP53 Variants and Risk of Prostate Cancer.

Authors:  Kara N Maxwell; Heather H Cheng; Jacquelyn Powers; Roman Gulati; Elisa M Ledet; Casey Morrison; Anh Le; Ryan Hausler; Jill Stopfer; Sophie Hyman; Wendy Kohlmann; Anne Naumer; Jennie Vagher; Samantha E Greenberg; Lorraine Naylor; Mercy Laurino; Eric Q Konnick; Brian H Shirts; Saud H AlDubayan; Eliezer M Van Allen; Bastien Nguyen; Joseph Vijai; Wassim Abida; Maria I Carlo; Marianne Dubard-Gault; Daniel J Lee; Luke D Maese; Diana Mandelker; Bruce Montgomery; Michael J Morris; Piper Nicolosi; Robert L Nussbaum; Lauren E Schwartz; Zsofia Stadler; Judy E Garber; Kenneth Offit; Joshua D Schiffman; Peter S Nelson; Oliver Sartor; Michael F Walsh; Colin C Pritchard
Journal:  Eur Urol       Date:  2021-12-01       Impact factor: 20.096

6.  Cancer incidence, patterns, and genotype-phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: an observational cohort study.

Authors:  Kelvin César de Andrade; Payal P Khincha; Jessica N Hatton; Megan N Frone; Talia Wegman-Ostrosky; Phuong L Mai; Ana F Best; Sharon A Savage
Journal:  Lancet Oncol       Date:  2021-11-12       Impact factor: 41.316

7.  TP53 germline mutation testing in early-onset breast cancer: findings from a nationwide cohort.

Authors:  J J Bakhuizen; F B Hogervorst; M E Velthuizen; M W Ruijs; K van Engelen; T A van Os; J J Gille; M Collée; A M van den Ouweland; C J van Asperen; C M Kets; A R Mensenkamp; E M Leter; M J Blok; M M de Jong; M G Ausems
Journal:  Fam Cancer       Date:  2019-04       Impact factor: 2.375

8.  Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis.

Authors:  Kelvin C de Andrade; Megan N Frone; Talia Wegman-Ostrosky; Payal P Khincha; Jung Kim; Amina Amadou; Karina M Santiago; Fernanda P Fortes; Nathanaël Lemonnier; Lisa Mirabello; Douglas R Stewart; Pierre Hainaut; Luiz P Kowalski; Sharon A Savage; Maria I Achatz
Journal:  Hum Mutat       Date:  2018-11-19       Impact factor: 4.878

9.  Multigene panel testing beyond BRCA1/2 in breast/ovarian cancer Spanish families and clinical actionability of findings.

Authors:  Sandra Bonache; Irene Esteban; Alejandro Moles-Fernández; Anna Tenés; Laura Duran-Lozano; Gemma Montalban; Vanessa Bach; Estela Carrasco; Neus Gadea; Adrià López-Fernández; Sara Torres-Esquius; Francesco Mancuso; Ginevra Caratú; Ana Vivancos; Noemí Tuset; Judith Balmaña; Sara Gutiérrez-Enríquez; Orland Diez
Journal:  J Cancer Res Clin Oncol       Date:  2018-10-10       Impact factor: 4.553

10.  Implementation of Germline Testing for Prostate Cancer: Philadelphia Prostate Cancer Consensus Conference 2019.

Authors:  Veda N Giri; Karen E Knudsen; William K Kelly; Heather H Cheng; Kathleen A Cooney; Michael S Cookson; William Dahut; Scott Weissman; Howard R Soule; Daniel P Petrylak; Adam P Dicker; Saud H AlDubayan; Amanda E Toland; Colin C Pritchard; Curtis A Pettaway; Mary B Daly; James L Mohler; J Kellogg Parsons; Peter R Carroll; Robert Pilarski; Amie Blanco; Ashley Woodson; Alanna Rahm; Mary-Ellen Taplin; Thomas J Polascik; Brian T Helfand; Colette Hyatt; Alicia K Morgans; Felix Feng; Michael Mullane; Jacqueline Powers; Raoul Concepcion; Daniel W Lin; Richard Wender; James Ryan Mark; Anthony Costello; Arthur L Burnett; Oliver Sartor; William B Isaacs; Jianfeng Xu; Jeffrey Weitzel; Gerald L Andriole; Himisha Beltran; Alberto Briganti; Lindsey Byrne; Anne Calvaresi; Thenappan Chandrasekar; David Y T Chen; Robert B Den; Albert Dobi; E David Crawford; James Eastham; Scott Eggener; Matthew L Freedman; Marc Garnick; Patrick T Gomella; Nathan Handley; Mark D Hurwitz; Joseph Izes; R Jeffrey Karnes; Costas Lallas; Lucia Languino; Stacy Loeb; Ana Maria Lopez; Kevin R Loughlin; Grace Lu-Yao; S Bruce Malkowicz; Mark Mann; Patrick Mille; Martin M Miner; Todd Morgan; Jose Moreno; Lorelei Mucci; Ronald E Myers; Sarah M Nielsen; Brock O'Neil; Wayne Pinover; Peter Pinto; Wendy Poage; Ganesh V Raj; Timothy R Rebbeck; Charles Ryan; Howard Sandler; Matthew Schiewer; E Michael D Scott; Brittany Szymaniak; William Tester; Edouard J Trabulsi; Neha Vapiwala; Evan Y Yu; Charnita Zeigler-Johnson; Leonard G Gomella
Journal:  J Clin Oncol       Date:  2020-06-09       Impact factor: 44.544

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