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Updated: May 25, 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
Enhanced recovery of high-quality DNA from limited FFPE tissue for advancing cancer genomics
Shweta Singh1,2, Sierra Vidaurri1, Astrid Perez1
1Division of Cancer Immunology and Microbiology, ISU Medicine and Oncology, School of Medicine, The University of Texas Rio Grande Valley, McAllen, TX, 78504, USA.
Abstract:
Archived formalin-fixed paraffin-embedded (FFPE) tissue samples are crucial assets in cancer research. However, despite the availability of commercial DNA purification kits, researchers face persistent challenges. The limited tissue availability, formalin-induced crosslinking, and DNA fragmentation in FFPE blocks often results in low DNA yield and compromised quality, hindering downstream applications. In this study, we optimized and standardized DNA purification methods to achieve high-yield, high-integrity DNA, making it ideal for DNA library preparation and high-throughput sequencing. Therefore, we optimized DNA extraction protocols using two Qiagen kits, the QIAamp DNA FFPE Tissue Kit and the QIAamp DNA FFPE Advanced Kit. The optimized methods significantly improved the yield and integrity of DNA isolated from limited FFPE tissue samples, with the advanced kit demonstrating superior performance and efficiency. This resulted in a two- to threefold increase in DNA concentration, as determined by spectrophotometric (NanoDrop) and fluorometric (Qubit) analyses. Gel electrophoresis and DNA integrity number (DIN) assessments confirm enhanced fragment preservation, suitable for downstream applications. Libraries prepared using DNA from the advanced protocol demonstrated higher sequencing quality and microbial diversity resolution. This study demonstrated that optimizing DNA purification methods for FFPE tissue samples can substantially improve the yield and integrity of DNA, paving the way for more accurate and comprehensive genomic analyses.
