» Articles » PMID: 39443383

Reporting of Somatic Variants in Clinical Cancer Care: Recommendations of the Swiss Society of Molecular Pathology

Abstract

Somatic variant testing through next-generation sequencing (NGS) is well integrated into Swiss molecular pathology laboratories and has become a standard diagnostic method for numerous indications in cancer patient care. Currently, there is a wide variation in reporting practices within our country, and as patients move between different hospitals, it is increasingly necessary to standardize NGS reports to ease their reinterpretation. Additionally, as many different stakeholders-oncologists, hematologists, geneticists, pathologists, and patients-have access to the NGS report, it needs to contain comprehensive and detailed information in order to answer the questions of experts and avoid misinterpretation by non-experts. In 2017, the Swiss Institute of Bioinformatics conducted a survey to assess the differences in NGS reporting practices across ten pathology institutes in Switzerland. The survey examined 68 reporting items and identified 48 discrepancies. Based on these findings, the Swiss Society of Molecular Pathology initiated a Delphi method to reach a consensus on a set of recommendations for NGS reporting. Reports should include clinical information about the patient and the diagnosis, technical details about the sample and the test performed, and a list of all clinically relevant variants and variants of uncertain significance. In the absence of a consensus on an actionability scheme, the five-class pathogenicity scheme proposed by the ACMG/AMP guideline must be included in the reports. The Swiss Society of Molecular Pathology recognizes the importance of including clinical actionability in the report and calls on the European community of molecular pathologists and oncologists to reach a consensus on this issue.

References
1.
Satam H, Joshi K, Mangrolia U, Waghoo S, Zaidi G, Rawool S . Next-Generation Sequencing Technology: Current Trends and Advancements. Biology (Basel). 2023; 12(7). PMC: 10376292. DOI: 10.3390/biology12070997. View

2.
Kundra R, Zhang H, Sheridan R, Sirintrapun S, Wang A, Ochoa A . OncoTree: A Cancer Classification System for Precision Oncology. JCO Clin Cancer Inform. 2021; 5:221-230. PMC: 8240791. DOI: 10.1200/CCI.20.00108. View

3.
Chakravarty D, Gao J, Phillips S, Kundra R, Zhang H, Wang J . OncoKB: A Precision Oncology Knowledge Base. JCO Precis Oncol. 2017; 2017. PMC: 5586540. DOI: 10.1200/PO.17.00011. View

4.
Li M, Cottrell C, Pullambhatla M, Roy S, Temple-Smolkin R, Turner S . Assessments of Somatic Variant Classification Using the Association for Molecular Pathology/American Society of Clinical Oncology/College of American Pathologists Guidelines: A Report from the Association for Molecular Pathology. J Mol Diagn. 2022; 25(2):69-86. DOI: 10.1016/j.jmoldx.2022.11.002. View

5.
Sondka Z, Dhir N, Carvalho-Silva D, Jupe S, Madhumita , McLaren K . COSMIC: a curated database of somatic variants and clinical data for cancer. Nucleic Acids Res. 2024; 52(D1):D1210-D1217. PMC: 10767972. DOI: 10.1093/nar/gkad986. View