Validating comprehensive next- generation sequencing results for precision oncology: The NCT/DKTK molecularly aided stratification for tumor eradication research experience
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Purpose Rapidly evolving genomics technologies, in particular comprehensive nextgeneration sequencing (NGS), have led to exponential growth in the understanding of cancer biology, shifting oncology toward personalized treatment strategies. However, comprehensive NGS approaches, such as whole-exome sequencing, have limitations that are related to the technology itself as well as to the input source. Hence, clinical implementation of comprehensive NGS in a quality-controlled diagnostic workflow requires both the standardization of sequencing procedures and continuous validation of sequencing results by orthogonal methods in an ongoing program to enable the determination of key test parameters and continuous improvement of NGS and bioinformatics pipelines. Patients and Methods We present validation data on 220 patients who were enrolled between 2013 and 2016 in a multi-institutional, genomics-guided precision oncology program (Molecularly Aided Stratification for Tumor Eradication Research) of the National Center for Tumor Diseases Heidelberg and the German Cancer Consortium. Results More than 90% of clinically actionable genomic alterations identified by combined whole-exome sequencing and transcriptome sequencing were successfully validated, with varying frequencies of discordant results across different types of alterations (fusions, 3.7%; single-nucleotide variants, 2.6%; amplifications, 1.1%; overexpression, 0.9%; deletions, 0.6%). The implementation of new computational methods for NGS data analysis led to a substantial improvement of gene fusion calling over time. Conclusion Collectively, these data demonstrate the value of a rigorous validation program that partners with comprehensive NGS to successfully implement and continuously improve cancer precision medicine in a clinical setting.
Details
Original language | English |
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Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | JCO precision oncology |
Volume | 2 |
Publication status | Published - 2018 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-9321-9911/work/142251983 |
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