Details

Autor(en) / Beteiligte

• de Leng, Wendy W J
• Gadellaa-van Hooijdonk, Christa G
• Barendregt-Smouter, Françoise A S
• Koudijs, Marco J
• Nijman, Ies
• Hinrichs, John W J
• Cuppen, Edwin
• van Lieshout, Stef
• Loberg, Robert D
• de Jonge, Maja
• Voest, Emile E
• de Weger, Roel A
• Steeghs, Neeltje
• Langenberg, Marlies H G
• Sleijfer, Stefan
• Willems, Stefan M
• Lolkema, Martijn P
• Goel, Ajay

Titel

Targeted Next Generation Sequencing as a Reliable Diagnostic Assay for the Detection of Somatic Mutations in Tumours Using Minimal DNA Amounts from Formalin Fixed Paraffin Embedded Material

Ist Teil von

• PloS one, 2016-02, Vol.11 (2), p.e0149405-e0149405

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2016

Quelle

MEDLINE

Beschreibungen/Notizen

• Targeted Next Generation Sequencing (NGS) offers a way to implement testing of multiple genetic aberrations in diagnostic pathology practice, which is necessary for personalized cancer treatment. However, no standards regarding input material have been defined. This study therefore aimed to determine the effect of the type of input material (e.g. formalin fixed paraffin embedded (FFPE) versus fresh frozen (FF) tissue) on NGS derived results. Moreover, this study aimed to explore a standardized analysis pipeline to support consistent clinical decision-making. We used the Ion Torrent PGM sequencing platform in combination with the Ion AmpliSeq Cancer Hotspot Panel v2 to sequence frequently mutated regions in 50 cancer related genes, and validated the NGS detected variants in 250 FFPE samples using standard diagnostic assays. Next, 386 tumour samples were sequenced to explore the effect of input material on variant detection variables. For variant calling, Ion Torrent analysis software was supplemented with additional variant annotation and filtering. Both FFPE and FF tissue could be sequenced reliably with a sensitivity of 99.1%. Validation showed a 98.5% concordance between NGS and conventional sequencing techniques, where NGS provided both the advantage of low input DNA concentration and the detection of low-frequency variants. The reliability of mutation analysis could be further improved with manual inspection of sequence data. Targeted NGS can be reliably implemented in cancer diagnostics using both FFPE and FF tissue when using appropriate analysis settings, even with low input DNA.