Abstract 3675: Design of high-performance tumor-informed minimal residual disease (MRD) panels from low FFPE tumor input

Abstract

Abstract Background: Minimal residual disease (MRD) testing can detect cancer recurrence months to years earlier than the current standard of care, enabling earlier treatment of recurrence and improved patient outcomes. Tumor-informed MRD assays typically utilize formalin-fixed paraffin-embedded (FFPE) tumor tissue, which is available in limited quantities for some patients, for example, following core needle biopsy (CNB), after neoadjuvant treatment or when patients need multiple tests from the same tumor sample. To determine the lower limit of tissue input, we evaluated our MRD assay performance across a range of extracted tumor volumes. Methods: Resected tumors and CNBs were sectioned, H&E stained, and macro-dissected. Tumor gDNA was extracted, quantified, prepared into libraries and sequenced. Sequenced libraries were aligned and evaluated for depth of coverage, variation of coverage, and duplication rate. Somatic calling was performed on matched tumor and normal samples. Up to 1000 target sites were selected for high-depth targeted sequencing of the tumor and normal gDNA for confirmation of somatic variant calls. The positive predictive value (PPV) was computed as the percent of putative somatic variant sites that were present in the tumor capture library and absent in the normal capture library. Results: Extracted tumor volumes varied by almost two orders of magnitude, from 0.06mm3 (equivalent to needle core or fine needle aspirate biopsies) to 5mm3 (achievable with resected tumor). gDNA amount varied linearly (3.6ng to 1549ng) with tumor tissue input, indicating the low tissue to paraffin ratio did not have an adverse effect on yield. Tumor gDNA inputs into library prep ranged from 2.5ng to 100ng. DNA amounts above 100ng into library prep had no discernable benefit. Below 10 ng, depth of coverage and the coefficient of variation in coverage indicated poor-quality libraries. Samples with ~10 ng of gDNA input into library prep showed depth of coverage comparable to higher inputs and saturated the achievable library complexity. Additionally, PPV of somatic calling was consistent across the range of gDNA inputs from 10-100 ng, demonstrating equivalent assay performance. Conclusion: Tumor-informed MRD assays have immense potential for increasingly sensitive treatment response and recurrence monitoring that can inform better treatment decisions. FFPE tumor tissue is a critical input into MRD assays but is a limited resource. This study supports a minimum DNA input of 10 nanograms for a single attempt at extraction, corresponding to a tissue volume of 0.2mm3 or a single 10µm slide with a 20mm2 area, representing one of the lowest tissue input requirements for an MRD assay. Low FFPE tissue requirements expand the patient population that benefit from MRD testing by utilizing samples that have low tumor content, are post-neoadjuvant therapy or do not meet the tumor volume requirements of competing MRD offerings. Citation Format: Matt LaBella, Ashley Acevedo, Ravi Patel, Kiefer Haug, Sangita Ganesh, Elise Buser, Nafei Xu, Shalee Carlson, Kyle Trettin, Sarah Ratzel, Kieko Hara, Pavlos Msaouel, Kanishka Sircar, Chad Tang, Dale Muzzey, Genevieve Gould. Design of high-performance tumor-informed minimal residual disease (MRD) panels from low FFPE tumor input [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3675.