Literature DB >> 26777316

Classification and Clinical Management of Variants of Uncertain Significance in High Penetrance Cancer Predisposition Genes.

Setareh Moghadasi1, Diana M Eccles2, Peter Devilee3, Maaike P G Vreeswijk3, Christi J van Asperen1.   

Abstract

In 2008, the International Agency for Research on Cancer (IARC) proposed a system for classifying sequence variants in highly penetrant breast and colon cancer susceptibility genes, linked to clinical actions. This system uses a multifactorial likelihood model to calculate the posterior probability that an altered DNA sequence is pathogenic. Variants between 5%-94.9% (class 3) are categorized as variants of uncertain significance (VUS). This interval is wide and might include variants with a substantial difference in pathogenicity at either end of the spectrum. We think that carriers of class 3 variants would benefit from a fine-tuning of this classification. Classification of VUS to a category with a defined clinical significance is very important because for carriers of a pathogenic mutation full surveillance and risk-reducing surgery can reduce cancer incidence. Counselees who are not carriers of a pathogenic mutation can be discharged from intensive follow-up and avoid unnecessary risk-reducing surgery. By means of examples, we show how, in selected cases, additional data can lead to reclassification of some variants to a different class with different recommendations for surveillance and therapy. To improve the clinical utility of this classification system, we suggest a pragmatic adaptation to clinical practice.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  cancer predisposition genes; clinical management; multifactorial likelihood model (MLM); variants of uncertain significance (VUS)

Mesh:

Year:  2016        PMID: 26777316     DOI: 10.1002/humu.22956

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  13 in total

1.  Factors affecting breast cancer patients' need for genetic risk information: From information insufficiency to information need.

Authors:  Soo Jung Hong; Barbara Biesecker; Jennifer Ivanovich; Melody Goodman; Kimberly A Kaphingst
Journal:  J Genet Couns       Date:  2019-01-24       Impact factor: 2.537

2.  BRCA1- and BRCA2-specific in silico tools for variant interpretation in the CAGI 5 ENIGMA challenge.

Authors:  Natàlia Padilla; Alejandro Moles-Fernández; Casandra Riera; Gemma Montalban; Selen Özkan; Lars Ootes; Sandra Bonache; Orland Díez; Sara Gutiérrez-Enríquez; Xavier de la Cruz
Journal:  Hum Mutat       Date:  2019-07-03       Impact factor: 4.878

Review 3.  Cancer predisposition in pediatric neuro-oncology-practical approaches and ethical considerations.

Authors:  Steffen Hirsch; Nicola Dikow; Stefan M Pfister; Kristian W Pajtler
Journal:  Neurooncol Pract       Date:  2021-05-28

Review 4.  Variants of uncertain significance in the era of high-throughput genome sequencing: a lesson from breast and ovary cancers.

Authors:  Giulia Federici; Silvia Soddu
Journal:  J Exp Clin Cancer Res       Date:  2020-03-04

5.  A Single Center Retrospective Review of Patients from Central Italy Tested for Melanoma Predisposition Genes.

Authors:  Paola De Simone; Irene Bottillo; Michele Valiante; Alessandra Iorio; Carmelilia De Bernardo; Silvia Majore; Daniela D'Angelantonio; Tiziana Valentini; Isabella Sperduti; Paolo Piemonte; Laura Eibenschutz; Angela Ferrari; Anna Carbone; Pierluigi Buccini; Alessandro Paiardini; Vitaliano Silipo; Pasquale Frascione; Paola Grammatico
Journal:  Int J Mol Sci       Date:  2020-12-11       Impact factor: 5.923

Review 6.  Challenges of Genomic Testing for Hereditary Breast and Ovarian Cancers.

Authors:  Lindsey McAlarnen; Kristen Stearns; Denise Uyar
Journal:  Appl Clin Genet       Date:  2021-01-14

Review 7.  Molecular genetic testing strategies used in diagnostic flow for hereditary endocrine tumour syndromes.

Authors:  Henriett Butz; Jo Blair; Attila Patócs
Journal:  Endocrine       Date:  2021-02-11       Impact factor: 3.633

8.  Impact of proactive high-throughput functional assay data on BRCA1 variant interpretation in 3684 patients with breast or ovarian cancer.

Authors:  Jong Won Lee; Woochang Lee; Hyun-Ki Kim; Eun Jin Lee; Young-Jae Lee; Jisun Kim; Yongsub Kim; Kyunggon Kim; Shin-Wha Lee; Suhwan Chang; Young Joo Lee; Sail Chun; Byung Ho Son; Kyung Hae Jung; Yong-Man Kim; Won-Ki Min; Sei-Hyun Ahn
Journal:  J Hum Genet       Date:  2020-01-06       Impact factor: 3.172

9.  Prevalence and Spectrum of Germline BRCA1 and BRCA2 Variants of Uncertain Significance in Breast/Ovarian Cancer: Mysterious Signals From the Genome.

Authors:  Daniele Fanale; Alessia Fiorino; Lorena Incorvaia; Alessandra Dimino; Clarissa Filorizzo; Marco Bono; Daniela Cancelliere; Valentina Calò; Chiara Brando; Lidia Rita Corsini; Roberta Sciacchitano; Luigi Magrin; Alessia Pivetti; Erika Pedone; Giorgio Madonia; Alessandra Cucinella; Giuseppe Badalamenti; Antonio Russo; Viviana Bazan
Journal:  Front Oncol       Date:  2021-06-11       Impact factor: 5.738

Review 10.  Current and Future Molecular Testing in NSCLC, What Can We Expect from New Sequencing Technologies?

Authors:  Simon Garinet; Pierre Laurent-Puig; Hélène Blons; Jean-Baptiste Oudart
Journal:  J Clin Med       Date:  2018-06-09       Impact factor: 4.241

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