Analytical validation of a hybrid-approach combining tumor-informed and tumor-agnostic bespoke ctDNA panel assay for the sensitive detection of minimal residual disease

Minimal residual disease (MRD) is a small group of cancer cells not eliminated by anti-cancer treatment. Because of its small size, conventional imaging system may not be able to detect the MRD in routine clinical practice. Although the liquid biopsy tests can detect the circulating tumor DNA (ctDNA) when the tumor is present in the body, the fraction of ctDNA is considered lower than the 0.01% which is unreachable by current state-of-the-art liquid biopsy assay relying on fixed-gene panel approach. Here, we describe the analytical validation result of our previously developed a tumor-informed MRD test, CancerDetectTM (formerly reported as AlphaLiquid®Detect), leveraging large-scale mutation spectrum profiling strategy to enhance detection sensitivity. The CancerDetectTM is a hybrid-approach MRD test combining both personalized (bespoke) mutations and tumor-agnostic clinically actionable targets (hotspot mutations) with hybridization capture technology. The analytical validation result of CancerDetectTM showed limit of detection successfully reached down to 0.001% (10-5) with 99.9% specificity.

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Publication Details

Journal
PLoS ONE
Published
2025-11-10
DOI
https://doi.org/10.1371/journal.pone.0334282
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Analytical validation of a hybrid-approach combining tumor-informed and tumor-agnostic bespoke ctDNA panel assay for the sensitive detection of minimal residual disease

Seon‐Kyu Ham, Seongmun Jeong, Hayoon Lee, Sang‐Hyun Song et al.
PLoS ONE
Cancer Genomics and Diagnostics
article

Analytical validation of a hybrid-approach combining tumor-informed and tumor-agnostic bespoke ctDNA panel assay for the sensitive detection of minimal residual disease

Seon‐Kyu Ham, Seongmun Jeong, Hayoon Lee, Sang‐Hyun Song, Hanseong Roh, Tae‐You Kim, Sunghoon Heo, Duhee Bang, Hwang-Phill Kim, Byung-Hoon Han
article en

Abstract

Minimal residual disease (MRD) is a small group of cancer cells not eliminated by anti-cancer treatment. Because of its small size, conventional imaging system may not be able to detect the MRD in routine clinical practice. Although the liquid biopsy tests can detect the circulating tumor DNA (ctDNA) when the tumor is present in the body, the fraction of ctDNA is considered lower than the 0.01% which is unreachable by current state-of-the-art liquid biopsy assay relying on fixed-gene panel approach. Here, we describe the analytical validation result of our previously developed a tumor-informed MRD test, CancerDetectTM (formerly reported as AlphaLiquid®Detect), leveraging large-scale mutation spectrum profiling strategy to enhance detection sensitivity. The CancerDetectTM is a hybrid-approach MRD test combining both personalized (bespoke) mutations and tumor-agnostic clinically actionable targets (hotspot mutations) with hybridization capture technology. The analytical validation result of CancerDetectTM showed limit of detection successfully reached down to 0.001% (10-5) with 99.9% specificity.

PLoS ONEVol. 20(11)
Seoul National University (KR), Yonsei University (KR), Seoul National University Hospital (KR)
National Research Foundation
Openalex Percentile: Top 59%
Cancer Genomics and Diagnostics
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