A Collaborative Effort to Define Classification Criteria for ATM Variants in Hereditary Cancer Patients

Author:

Feliubadaló Lidia123,Moles-Fernández Alejandro4,Santamariña-Pena Marta567,Sánchez Alysson T12,López-Novo Anael56,Porras Luz-Marina8,Blanco Ana567,Capellá Gabriel123,de la Hoya Miguel39,Molina Ignacio J10,Osorio Ana711,Pineda Marta123,Rueda Daniel12,de la Cruz Xavier813,Diez Orland414,Ruiz-Ponte Clara567,Gutiérrez-Enríquez Sara4,Vega Ana567,Lázaro Conxi123

Affiliation:

1. Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain

2. Oncobell Program, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain

3. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain

4. Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain

5. Fundación Pública Galega Medicina Xenómica (FPGMX), SERGAS, Santiago de Compostela, Spain

6. Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain

7. Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain

8. Research Unit in Clinical and Translational Bioinformatics, Vall d’Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain

9. Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain

10. Institute of Biopathology and Regenerative Medicine, Center for Biomedical Research, Health Sciences Technology Park, Universtity of Granada, Granada, Spain

11. Human Genetics Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain

12. Hereditary Cancer Laboratory, Doce de Octubre University Hospital, i+12 Research Institute, Madrid, Spain

13. Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain

14. Clinical and Molecular Genetics Area, University Hospital Vall d’Hebron, Barcelona, Spain

Abstract

Abstract Background Gene panel testing by massive parallel sequencing has increased the diagnostic yield but also the number of variants of uncertain significance. Clinical interpretation of genomic data requires expertise for each gene and disease. Heterozygous ATM pathogenic variants increase the risk of cancer, particularly breast cancer. For this reason, ATM is included in most hereditary cancer panels. It is a large gene, showing a high number of variants, most of them of uncertain significance. Hence, we initiated a collaborative effort to improve and standardize variant classification for the ATM gene. Methods Six independent laboratories collected information from 766 ATM variant carriers harboring 283 different variants. Data were submitted in a consensus template form, variant nomenclature and clinical information were curated, and monthly team conferences were established to review and adapt American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) criteria to ATM, which were used to classify 50 representative variants. Results Amid 283 different variants, 99 appeared more than once, 35 had differences in classification among laboratories. Refinement of ACMG/AMP criteria to ATM involved specification for twenty-one criteria and adjustment of strength for fourteen others. Afterwards, 50 variants carried by 254 index cases were classified with the established framework resulting in a consensus classification for all of them and a reduction in the number of variants of uncertain significance from 58% to 42%. Conclusions Our results highlight the relevance of data sharing and data curation by multidisciplinary experts to achieve improved variant classification that will eventually improve clinical management.

Funder

19 FEDER funds—a way to build Europe

Government of Catalonia

CERCA Program: Government of Catalonia

Instituto de Salud Carlos III

L-M Porras and X. de la Cruz, Ministerio de Economía y Competitividad

European Regional Development Fund

Interreg program POCTEFA

Instituto de Salud Carlos III and co-funded by the European Regional Development Fund

Spanish Instituto de Salud Carlos III

Spanish Ministry of Economy and Innovation

European Regional Development FEDER

ISCIII Miguel Servet Program

M. Santamariña-Pena

Spanish Health Research Foundation

FEDER funds through Research Activity Intensification Program

Centro de Investigación Biomédica en Red de Enfermedades Raras CIBERER

Autonomous Government of Galicia (Consolidation and structuring program

Fundación Mutua Madrileña

Departamento de Santander Colciencias

Ministry of Economy and Innovation partially supported by European Regional Development FEDER Funds

AAT- 8GRA02 from Action for A-T, United Kingdom

Publisher

Oxford University Press (OUP)

Subject

Biochemistry (medical),Clinical Biochemistry

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