Related Experiment Video
Updated: Oct 13, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Validation of a DNA-Based Next-Generation Sequencing Test for Molecular Diagnostic Variant and Fusion Detection in
Tamara V Werner1, Sylvia Kock2, Isabel Weber2
1Institute for Surgical Pathology, Medical Center, Medical Faculty, University of Freiburg, Freiburg im Breisgau, Germany; German Cancer Consortium, partner site Freiburg, and German Cancer Research Center, Heidelberg, Germany.
Abstract:
This study evaluated two DNA-based next-generation sequencing approaches for detection of single-nucleotide variants (SNVs) and fusions in formalin-fixed, paraffin-embedded (FFPE) tissue specimens and liquid biopsies (AVENIO Targeted and Surveillance Panels). Reference standards (n = 7 with SNVs and structural variants) and real-world FFPE tissue specimens (n = 26 lung, colorectal, pancreas, ovary, breast, prostate, melanoma, and soft tissue cancer cases with n = 27 samples), liquid biopsies [n = 29 cases with n = 40 plasma/cell-free DNA (cfDNA) samples], and one pleural effusion (lung cancer) were analyzed by the AVENIO workflow for known SNVs (BRAF, BRCA1/2, CTNNB1, EGFR, KRAS, MET exon 14 skipping, NRAS, PIK3CA, and TP53), insertions and deletions (ERBB2 and KIT), and fusions (ALK and ROS1). Detection of SNVs, insertions and deletions, and fusions was reliable in 24 of 26 FFPE tissue specimen cases and at 1% allele frequency in 5 of 5 cfDNA reference standards and 37 of 40 plasma/cfDNA samples. Pitfalls were identified for the AVENIO workflow in calling and listing of clinically relevant variants, requiring additional manual inspection. Moreover, laboratory workflows are distinct for FFPE tissue specimens and liquid biopsies as well as time-consuming for sample quality control assays. In summary, the DNA-based next-generation sequencing approaches may be suitable for routine molecular pathology diagnostics on careful data interpretation and further optimization of the technical and laboratory workflows.

