PURPOSE: A clinical testing cohort was used to gain a broader understanding of the spectrum of tumors associated with germline p53 mutations to aid clinicians in identifying high-risk families. PATIENTS AND METHODS: Full sequencing of the coding exons (2 to 11) and associated splice junctions of the p53 gene was performed on 525 consecutive patients whose blood samples were submitted for diagnostic testing. Clinical features of p53 germline carriers in this cohort were characterized, clinical referral schemes based on reported p53-associated family phenotypes were evaluated, and practical mutation prevalence tables were generated. RESULTS: Mutations were identified in 91 (17%) of 525 patients submitted for testing. All families with a p53 mutation had at least one family member with a sarcoma, breast, brain, or adrenocortical carcinoma (ACC). Every individual with a choroid plexus tumor (eight of eight) and 14 of 21 individuals with a childhood ACC had a mutation regardless of family history. Based on reported personal and family history, 95% of patients (71 of 75) with a mutation met either classic Li Fraumeni syndrome (LFS) or Chompret criteria. A simplified prevalence table provides a concise summary of individual and family characteristics associated with p53 mutations. CONCLUSION: This is, to our knowledge, the largest single report of diagnostic testing for germline p53 mutations, yielding practical mutation prevalence tables and suggesting clinical utility of classic LFS and Chompret criteria for identifying a subset of cancer-prone families with p53 germline mutations, with important implications for diagnosis and management.
PURPOSE: A clinical testing cohort was used to gain a broader understanding of the spectrum of tumors associated with germline p53 mutations to aid clinicians in identifying high-risk families. PATIENTS AND METHODS: Full sequencing of the coding exons (2 to 11) and associated splice junctions of the p53 gene was performed on 525 consecutive patients whose blood samples were submitted for diagnostic testing. Clinical features of p53 germline carriers in this cohort were characterized, clinical referral schemes based on reported p53-associated family phenotypes were evaluated, and practical mutation prevalence tables were generated. RESULTS: Mutations were identified in 91 (17%) of 525 patients submitted for testing. All families with a p53 mutation had at least one family member with a sarcoma, breast, brain, or adrenocortical carcinoma (ACC). Every individual with a choroid plexus tumor (eight of eight) and 14 of 21 individuals with a childhood ACC had a mutation regardless of family history. Based on reported personal and family history, 95% of patients (71 of 75) with a mutation met either classic Li Fraumeni syndrome (LFS) or Chompret criteria. A simplified prevalence table provides a concise summary of individual and family characteristics associated with p53 mutations. CONCLUSION: This is, to our knowledge, the largest single report of diagnostic testing for germline p53 mutations, yielding practical mutation prevalence tables and suggesting clinical utility of classic LFS and Chompret criteria for identifying a subset of cancer-prone families with p53 germline mutations, with important implications for diagnosis and management.
Authors: Phuong L Mai; Payal P Khincha; Jennifer T Loud; Rosamma M DeCastro; Renée C Bremer; June A Peters; Chia-Ying Liu; David A Bluemke; Ashkan A Malayeri; Sharon A Savage Journal: JAMA Oncol Date: 2017-12-01 Impact factor: 31.777
Authors: Judy Mouchawar; Christopher Korch; Tim Byers; Todd M Pitts; Efang Li; Margaret R E McCredie; Graham G Giles; John L Hopper; Melissa C Southey Journal: Cancer Res Date: 2010-05-25 Impact factor: 12.701
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
Authors: Kelvin César de Andrade; Lisa Mirabello; Douglas R Stewart; Eric Karlins; Roelof Koster; Mingyi Wang; Susan M Gapstur; Mia M Gaudet; Neal D Freedman; Maria Teresa Landi; Nathanaël Lemonnier; Pierre Hainaut; Sharon A Savage; Maria Isabel Achatz Journal: Hum Mutat Date: 2017-09-21 Impact factor: 4.878
Authors: Maciej Jóźwik; Renata Posmyk; Marcin Jóźwik; Andrzej Semczuk; Magdalena Gogiel-Shields; Marta Kuś-Słowińska; Magdalena Garbowicz; Mark Klukowski; Jacek Wojciechowicz Journal: Cancer Biol Ther Date: 2018-07-03 Impact factor: 4.742