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April 5, 2026Cancer Research0 citations

Abstract 3261: Evaluation of FFPE-extracted nucleic acid quality and performance from various commercial extraction kits using contrived multiplexed reference materials

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DLDana J. Ruminski LoweRHR HowardSRSerene Roque

Key Points

  • To evaluate the yield, quality, and performance of nucleic acids extracted from FFPE samples using various commercial extraction kits.
  • Used Seraseq multiplexed reference materials with engineered normal human cells.
  • Conducted extraction with kits from QIAGEN, Promega, Beckman Coulter, and AutoGen.
  • Analyzed yields using Qubit and ddPCR, assessed fragment size and quality with TapeStation.
  • Measured variant allele frequency and concentration through ddPCR and NGS assays.
  • Yields and quality of nucleic acids varied significantly between different extraction kits.
  • Qubit yield measurements did not consistently correlate with ddPCR results.
  • Discrepancies in variant allele frequencies were noted based on GC content of neighboring sequences.
  • Increasing salt concentration in extraction buffers improved variant coverage in lower GC% regions.

Abstract

Abstract Next generation sequencing (NGS) assays and other advanced genomic techniques for tumor profiling require sufficient and high-quality nucleic acid input. Formalin fixed and paraffin embedded (FFPE) samples are a common, yet challenging type of patient sample often used in these tests. Often in clinical labs, the patient specimen is limited, so pre-analytical handling is critical; maximizing nucleic acid yield from the sample is important, but quality and performance in downstream assays cannot be sacrificed. Furthermore, labs must consider the workflow of the extraction system, ease of use, and processing time. Highly consistent, whole process reference materials can greatly facilitate method evaluation. Here we assess the yield, quality, and performance of nucleic acids obtained with industry leading FFPE extraction kits using various Seraseq FFPE standards. Normal human cells were engineered to carry DNA and/or RNA variants. Variant allele frequency (VAF) and concentration in the cells were verified using the Bio-Rad QX-200 Droplet Digital PCR (ddPCR) System. The cells were formalin fixed, embedded in paraffin blocks and sectioned at 10-micron thickness. Extraction was performed with various commercially available kits from QIAGEN, Promega, Beckman Coulter, and AutoGen. Yields were analyzed using Qubit kits and ddPCR. TapeStation assays were used to assess fragment size and quality. VAF and concentration were again measured by ddPCR as well as several NGS assays. Yields, quality, and fragment size were variable between extraction kits. Interestingly, yields determined using Qubit did not always correlate with those measured by ddPCR. Similarly, for some DNA variants, there was a discrepancy between VAFs measured by different extraction kits, which seemed to be related to the GC content of nearby sequences. Increasing the salt concentration of buffer used in the extraction process rescued coverage of variants with lower nearby GC% regions indicating some extraction conditions can be detrimental to accurate variant quantification. Assessing performance of all steps of a tumor profiling workflow, from extraction to variant calling, is imperative to ensure high sensitivity and specificity. Extraction of nucleic acids from FFPE is a critical step that can affect the ability of the assay to accurately detect all variants in a patient sample. As shown here, a consistent standard that is readily available and contains many variants of varying complexity can be an invaluable tool in extraction assessment and optimization. Citation Format: Dana J. Ruminski Lowe, Richard Howard, Serene Roque, Praveena Kamineni, Edward S. Davis, Andrew Anfora, Yves Konigshofer, Catherine Huang, Russell K. Garlick. Evaluation of FFPE-extracted nucleic acid quality and performance from various commercial extraction kits using contrived multiplexed reference materials abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3261.

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Cite This Study

Lowe et al. (2026) studied this question.

synapsesocial.com/papers/69d1fcfda79560c99a0a2c84https://doi.org/10.1158/1538-7445.am2026-3261
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