Literature DB >> 33300245

Specifications of the ACMG/AMP variant interpretation guidelines for germline TP53 variants.

Cristina Fortuno1, Kristy Lee2, Magali Olivier3, Tina Pesaran4, Phuong L Mai5, Kelvin C de Andrade6, Laura D Attardi7, Stephanie Crowley2, D Gareth Evans8, Bing-Jian Feng9, Ann K M Foreman2, Megan N Frone6, Robert Huether10, Paul A James11, Kelly McGoldrick4, Jessica Mester12, Bryce A Seifert2, Thomas P Slavin13, Leora Witkowski14, Liying Zhang15, Sharon E Plon16, Amanda B Spurdle1, Sharon A Savage6.   

Abstract

Germline pathogenic variants in TP53 are associated with Li-Fraumeni syndrome, a cancer predisposition disorder inherited in an autosomal dominant pattern associated with a high risk of malignancy, including early-onset breast cancers, sarcomas, adrenocortical carcinomas, and brain tumors. Intense cancer surveillance for individuals with TP53 germline pathogenic variants is associated with reduced cancer-related mortality. Accurate and consistent classification of germline variants across clinical and research laboratories is important to ensure appropriate cancer surveillance recommendations. Here, we describe the work performed by the Clinical Genome Resource TP53 Variant Curation Expert Panel (ClinGen TP53 VCEP) focused on specifying the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) guidelines for germline variant classification to the TP53 gene. Specifications were developed for 20 ACMG/AMP criteria, while nine were deemed not applicable. The original strength level for the 10 criteria was also adjusted due to current evidence. Use of TP53-specific guidelines and sharing of clinical data among experts and clinical laboratories led to a decrease in variants of uncertain significance from 28% to 12% compared with the original guidelines. The ClinGen TP53 VCEP recommends the use of these TP53-specific ACMG/AMP guidelines as the standard strategy for TP53 germline variant classification. Published 2020. This article is a U.S. Goverment work and is in the public domain in the USA.

Entities:  

Keywords:  TP53; cancer; pathogenic variant; variant curation

Mesh:

Substances:

Year:  2020        PMID: 33300245      PMCID: PMC8374922          DOI: 10.1002/humu.24152

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.700


  59 in total

1.  Baseline Surveillance in Li-Fraumeni Syndrome Using Whole-Body Magnetic Resonance Imaging: A Meta-analysis.

Authors:  Mandy L Ballinger; Ana Best; Phuong L Mai; Payal P Khincha; Jennifer T Loud; June A Peters; Maria Isabel Achatz; Rubens Chojniak; Alexandre Balieiro da Costa; Karina Miranda Santiago; Judy Garber; Allison F O'Neill; Rosalind A Eeles; D Gareth Evans; Eveline Bleiker; Gabe S Sonke; Marielle Ruijs; Claudette Loo; Joshua Schiffman; Anne Naumer; Wendy Kohlmann; Louise C Strong; Jasmina Bojadzieva; David Malkin; Surya P Rednam; Elena M Stoffel; Erika Koeppe; Jeffrey N Weitzel; Thomas P Slavin; Bita Nehoray; Mark Robson; Michael Walsh; Lorenzo Manelli; Anita Villani; David M Thomas; Sharon A Savage
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

2.  p53 major hotspot variants are associated with poorer prognostic features in hereditary cancer patients.

Authors:  Cristina Fortuno; Tina Pesaran; Jill Dolinsky; Amal Yussuf; Kelly McGoldrick; Pik Fang Kho; Paul A James; Amanda B Spurdle
Journal:  Cancer Genet       Date:  2019-06-06

Review 3.  TP53 mutations in human cancers: origins, consequences, and clinical use.

Authors:  Magali Olivier; Monica Hollstein; Pierre Hainaut
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-01       Impact factor: 10.005

4.  Improved, ACMG-compliant, in silico prediction of pathogenicity for missense substitutions encoded by TP53 variants.

Authors:  Cristina Fortuno; Paul A James; Erin L Young; Bing Feng; Magali Olivier; Tina Pesaran; Sean V Tavtigian; Amanda B Spurdle
Journal:  Hum Mutat       Date:  2018-06-05       Impact factor: 4.878

5.  Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter Cohorts.

Authors:  Seung Jun Shin; Elissa B Dodd-Eaton; Gang Peng; Jasmina Bojadzieva; Jingxiao Chen; Christopher I Amos; Megan N Frone; Payal P Khincha; Phuong L Mai; Sharon A Savage; Mandy L Ballinger; David M Thomas; Ying Yuan; Louise C Strong; Wenyi Wang
Journal:  Cancer Res       Date:  2019-11-12       Impact factor: 12.701

6.  ClinGen Myeloid Malignancy Variant Curation Expert Panel recommendations for germline RUNX1 variants.

Authors:  Xi Luo; Simone Feurstein; Shruthi Mohan; Christopher C Porter; Sarah A Jackson; Sioban Keel; Michael Chicka; Anna L Brown; Chimene Kesserwan; Anupriya Agarwal; Minjie Luo; Zejuan Li; Justyne E Ross; Panagiotis Baliakas; Daniel Pineda-Alvarez; Courtney D DiNardo; Alison A Bertuch; Nikita Mehta; Tom Vulliamy; Ying Wang; Kim E Nichols; Luca Malcovati; Michael F Walsh; Lesley H Rawlings; Shannon K McWeeney; Jean Soulier; Anna Raimbault; Mark J Routbort; Liying Zhang; Gabriella Ryan; Nancy A Speck; Sharon E Plon; David Wu; Lucy A Godley
Journal:  Blood Adv       Date:  2019-10-22

7.  Guidelines for the Li-Fraumeni and heritable TP53-related cancer syndromes.

Authors:  Thierry Frebourg; Svetlana Bajalica Lagercrantz; Carla Oliveira; Rita Magenheim; D Gareth Evans
Journal:  Eur J Hum Genet       Date:  2020-05-26       Impact factor: 4.246

8.  Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity.

Authors:  Matthew T Chang; Saurabh Asthana; Sizhi Paul Gao; Byron H Lee; Jocelyn S Chapman; Cyriac Kandoth; JianJiong Gao; Nicholas D Socci; David B Solit; Adam B Olshen; Nikolaus Schultz; Barry S Taylor
Journal:  Nat Biotechnol       Date:  2015-11-30       Impact factor: 54.908

9.  Mutational processes shape the landscape of TP53 mutations in human cancer.

Authors:  Andrew O Giacomelli; Xiaoping Yang; Robert E Lintner; James M McFarland; Marc Duby; Jaegil Kim; Thomas P Howard; David Y Takeda; Seav Huong Ly; Eejung Kim; Hugh S Gannon; Brian Hurhula; Ted Sharpe; Amy Goodale; Briana Fritchman; Scott Steelman; Francisca Vazquez; Aviad Tsherniak; Andrew J Aguirre; John G Doench; Federica Piccioni; Charles W M Roberts; Matthew Meyerson; Gad Getz; Cory M Johannessen; David E Root; William C Hahn
Journal:  Nat Genet       Date:  2018-09-17       Impact factor: 38.330

10.  Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework.

Authors:  Sarah E Brnich; Ahmad N Abou Tayoun; Fergus J Couch; Garry R Cutting; Marc S Greenblatt; Christopher D Heinen; Dona M Kanavy; Xi Luo; Shannon M McNulty; Lea M Starita; Sean V Tavtigian; Matt W Wright; Steven M Harrison; Leslie G Biesecker; Jonathan S Berg
Journal:  Genome Med       Date:  2019-12-31       Impact factor: 11.117

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  18 in total

1.  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

Review 2.  Melanoma in patients with Li-Fraumeni syndrome (Review).

Authors:  Florica Sandru; Mihai Cristian Dumitrascu; Aida Petca; Mara Carsote; Razvan-Cosmin Petca; Adina Ghemigian
Journal:  Exp Ther Med       Date:  2021-11-24       Impact factor: 2.447

3.  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

4.  Evolution of germline TP53 variant classification in children with cancer.

Authors:  E Tallis; S Scollon; D I Ritter; S E Plon
Journal:  Cancer Genet       Date:  2022-03-03

5.  Closing the gap: Systematic integration of multiplexed functional data resolves variants of uncertain significance in BRCA1, TP53, and PTEN.

Authors:  Shawn Fayer; Carrie Horton; Jennifer N Dines; Alan F Rubin; Marcy E Richardson; Kelly McGoldrick; Felicia Hernandez; Tina Pesaran; Rachid Karam; Brian H Shirts; Douglas M Fowler; Lea M Starita
Journal:  Am J Hum Genet       Date:  2021-11-17       Impact factor: 11.043

6.  Association of TP53 and CDKN2A Mutation Profile with Tumor Mutation Burden in Head and Neck Cancer.

Authors:  Alexander Y Deneka; Yasmine Baca; Ilya G Serebriiskii; Emmanuelle Nicolas; Mitchell I Parker; Theodore T Nguyen; Joanne Xiu; W Michael Korn; Michael J Demeure; Trisha Wise-Draper; Ammar Sukari; Barbara Burtness; Erica A Golemis
Journal:  Clin Cancer Res       Date:  2022-05-02       Impact factor: 13.801

7.  Harmonizing variant classification for return of results in the All of Us Research Program.

Authors:  Steven M Harrison; Christina A Austin-Tse; Serra Kim; Matthew Lebo; Annette Leon; David Murdock; Aparna Radhakrishnan; Brian H Shirts; Marcie Steeves; Eric Venner; Richard A Gibbs; Gail P Jarvik; Heidi L Rehm
Journal:  Hum Mutat       Date:  2021-12-28       Impact factor: 4.700

8.  Standards for the classification of pathogenicity of somatic variants in cancer (oncogenicity): Joint recommendations of Clinical Genome Resource (ClinGen), Cancer Genomics Consortium (CGC), and Variant Interpretation for Cancer Consortium (VICC).

Authors:  Peter Horak; Malachi Griffith; Arpad M Danos; Beth A Pitel; Subha Madhavan; Xuelu Liu; Cynthia Chow; Heather Williams; Leigh Carmody; Lisa Barrow-Laing; Damian Rieke; Simon Kreutzfeldt; Albrecht Stenzinger; David Tamborero; Manuela Benary; Padma Sheila Rajagopal; Cristiane M Ida; Harry Lesmana; Laveniya Satgunaseelan; Jason D Merker; Michael Y Tolstorukov; Paulo Vidal Campregher; Jeremy L Warner; Shruti Rao; Maya Natesan; Haolin Shen; Jeffrey Venstrom; Somak Roy; Kayoko Tao; Rashmi Kanagal-Shamanna; Xinjie Xu; Deborah I Ritter; Kym Pagel; Kilannin Krysiak; Adrian Dubuc; Yassmine M Akkari; Xuan Shirley Li; Jennifer Lee; Ian King; Gordana Raca; Alex H Wagner; Marylin M Li; Sharon E Plon; Shashikant Kulkarni; Obi L Griffith; Debyani Chakravarty; Dmitriy Sonkin
Journal:  Genet Med       Date:  2022-01-29       Impact factor: 8.864

9.  Evaluating the impact of in silico predictors on clinical variant classification.

Authors:  Emma H Wilcox; Mahdi Sarmady; Bryan Wulf; Matt W Wright; Heidi L Rehm; Leslie G Biesecker; Ahmad N Abou Tayoun
Journal:  Genet Med       Date:  2021-12-23       Impact factor: 8.864

10.  Characteristics of Li-Fraumeni Syndrome in Japan; A Review Study by the Special Committee of JSHT.

Authors:  Michinori Funato; Yukiko Tsunematsu; Fumito Yamazaki; Chieko Tamura; Tadashi Kumamoto; Masatoshi Takagi; Shunsuke Kato; Haruhiko Sugimura; Kazuo Tamura
Journal:  Cancer Sci       Date:  2021-05-01       Impact factor: 6.716

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