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Validation of CZECANCA (CZEch CAncer paNel for Clinical Application) for targeted NGS-based analysis of hereditary cancer syndromes
J. Soukupova, P. Zemankova, K. Lhotova, M. Janatova, M. Borecka, L. Stolarova, F. Lhota, L. Foretova, E. Machackova, V. Stranecky, S. Tavandzis, P. Kleiblova, M. Vocka, H. Hartmannova, K. Hodanova, S. Kmoch, Z. Kleibl,
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
Grant support
NV15-27695A
MZ0
CEP Register
NV15-28830A
MZ0
CEP Register
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- MeSH
- Neoplastic Syndromes, Hereditary genetics MeSH
- Genetic Predisposition to Disease MeSH
- Genetic Association Studies MeSH
- Genetic Testing MeSH
- Humans MeSH
- INDEL Mutation MeSH
- Mutation MeSH
- Biomarkers, Tumor * MeSH
- Reproducibility of Results MeSH
- Sensitivity and Specificity MeSH
- DNA Copy Number Variations MeSH
- Computational Biology methods MeSH
- High-Throughput Nucleotide Sequencing * methods standards MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
BACKGROUND: Carriers of mutations in hereditary cancer predisposition genes represent a small but clinically important subgroup of oncology patients. The identification of causal germline mutations determines follow-up management, treatment options and genetic counselling in patients' families. Targeted next-generation sequencing-based analyses using cancer-specific panels in high-risk individuals have been rapidly adopted by diagnostic laboratories. While the use of diagnosis-specific panels is straightforward in typical cases, individuals with unusual phenotypes from families with overlapping criteria require multiple panel testing. Moreover, narrow gene panels are limited by our currently incomplete knowledge about possible genetic dispositions. METHODS: We have designed a multi-gene panel called CZECANCA (CZEch CAncer paNel for Clinical Application) for a sequencing analysis of 219 cancer-susceptibility and candidate predisposition genes associated with frequent hereditary cancers. RESULTS: The bioanalytical and bioinformatics pipeline was validated on a set of internal and commercially available DNA controls showing high coverage uniformity, sensitivity, specificity and accuracy. The panel demonstrates a reliable detection of both single nucleotide and copy number variants. Inter-laboratory, intra- and inter-run replicates confirmed the robustness of our approach. CONCLUSION: The objective of CZECANCA is a nationwide consolidation of cancer-predisposition genetic testing across various clinical indications with savings in costs, human labor and turnaround time. Moreover, the unified diagnostics will enable the integration and analysis of genotypes with associated phenotypes in a national database improving the clinical interpretation of variants.
Department of Cancer Epidemiology and Genetics Masaryk Memorial Cancer Institute Brno Czech Republic
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