Abstract 2598: Analytical validation of an ultra-high sensitivity tumor-informed MRD assay

Abstract Circulating tumor DNA (ctDNA) is a biomarker for molecular residual disease (MRD), i.e., tumor cells that persist during or after cancer treatment. ctDNA can be distinguished from normal cell-free DNA (cfDNA) based on the presence of tumor-specific somatic variants. First-generation tumor-informed MRD assays based on exome sequencing typically interrogate a small number of tumor-specific variants, limiting their sensitivity. We have developed a second-generation, tumor-informed MRD assay using matched formalin fixed paraffin embedded (FFPE) tumor tissue, including core needle biopsies, and normal whole genome sequencing to power expansive variant discovery and selection of panels consisting of up to 1000 targets optimized for assay sensitivity. Here we validate this assay using more than 100 unique cancer-affected clinical sample sets, more than 30 unique healthy donors and 3 unique sets of matched tumor and normal cell lines. Panels were generated from paired tumor and normal sample sets using as little as 10 ng of DNA, with highly reproducible performance across replicate panel designs. More than 4400 plasma and contrived sample tests were run across a range of assay conditions, including cfDNA input from 7.5 to 40 ng and panel sizes ranging from 500 to 1000 targets. Contrived samples were tested at tumor DNA concentrations ranging from 0.78 to 1,000,000 parts per million (ppm). We found the Limit of Detection with 95% sensitivity (LoD95) to be <5 ppm in units of genome equivalents (comparable to <2.5 ppm in units of variant allele frequency) under typical assay conditions, and that LoD95 scales with cfDNA input amount and panel size. We determined the linear range of the assay to be from 1.56 to 1,000,000 ppm, with high quantitative precision down to 18 ppm. Across all tested indications, including breast, renal, colorectal, ovarian, endometrial and lung cancers from stages II-IV, clinical sensitivity is >85% and clinical specificity is >99%, where undetected samples were exclusively in low shedding indications, such as renal and HR+/HER2- breast cancer. Clinical sensitivity is 100% with clinical specificity >99% in colorectal, ovarian, endometrial and lung cancers. In conclusion, we have developed and validated a quantitative and ultra-high sensitivity tumor-informed MRD assay suitable for challenging, low shedding applications such as breast and renal cancer or post-treatment monitoring. Citation Format: Ashley Acevedo, Kelly Colbert, Kyle Trettin, Alexander Ham, Genevieve Gould. Analytical validation of an ultra-high sensitivity tumor-informed MRD assay [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 2598.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2598
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2598: Analytical validation of an ultra-high sensitivity tumor-informed MRD assay

Genevieve Gould, Kyle Trettin, Ashley Acevedo, Alexander Sebastian Ham et al.
Cancer Research
Cancer Genomics and Diagnostics
article

Abstract 2598: Analytical validation of an ultra-high sensitivity tumor-informed MRD assay

Genevieve Gould, Kyle Trettin, Ashley Acevedo, Alexander Sebastian Ham, Kelly Colbert
article en

Abstract

Abstract Circulating tumor DNA (ctDNA) is a biomarker for molecular residual disease (MRD), i.e., tumor cells that persist during or after cancer treatment. ctDNA can be distinguished from normal cell-free DNA (cfDNA) based on the presence of tumor-specific somatic variants. First-generation tumor-informed MRD assays based on exome sequencing typically interrogate a small number of tumor-specific variants, limiting their sensitivity. We have developed a second-generation, tumor-informed MRD assay using matched formalin fixed paraffin embedded (FFPE) tumor tissue, including core needle biopsies, and normal whole genome sequencing to power expansive variant discovery and selection of panels consisting of up to 1000 targets optimized for assay sensitivity. Here we validate this assay using more than 100 unique cancer-affected clinical sample sets, more than 30 unique healthy donors and 3 unique sets of matched tumor and normal cell lines. Panels were generated from paired tumor and normal sample sets using as little as 10 ng of DNA, with highly reproducible performance across replicate panel designs. More than 4400 plasma and contrived sample tests were run across a range of assay conditions, including cfDNA input from 7.5 to 40 ng and panel sizes ranging from 500 to 1000 targets. Contrived samples were tested at tumor DNA concentrations ranging from 0.78 to 1,000,000 parts per million (ppm). We found the Limit of Detection with 95% sensitivity (LoD95) to be <5 ppm in units of genome equivalents (comparable to <2.5 ppm in units of variant allele frequency) under typical assay conditions, and that LoD95 scales with cfDNA input amount and panel size. We determined the linear range of the assay to be from 1.56 to 1,000,000 ppm, with high quantitative precision down to 18 ppm. Across all tested indications, including breast, renal, colorectal, ovarian, endometrial and lung cancers from stages II-IV, clinical sensitivity is >85% and clinical specificity is >99%, where undetected samples were exclusively in low shedding indications, such as renal and HR+/HER2- breast cancer. Clinical sensitivity is 100% with clinical specificity >99% in colorectal, ovarian, endometrial and lung cancers. In conclusion, we have developed and validated a quantitative and ultra-high sensitivity tumor-informed MRD assay suitable for challenging, low shedding applications such as breast and renal cancer or post-treatment monitoring. Citation Format: Ashley Acevedo, Kelly Colbert, Kyle Trettin, Alexander Ham, Genevieve Gould. Analytical validation of an ultra-high sensitivity tumor-informed MRD assay [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 2598.

Cancer ResearchVol. 86(7_Supplement)
Myriad Genetics (US)
Good health and well-being
Openalex Percentile: Top 11%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.