Abstract B029: Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction

Abstract While whole genome sequencing (WGS) of cell-free DNA (cfDNA) holds enormous promise for detection of molecularresidual disease (MRD), its performance is limited by WGS error rate. Here we introduce AccuScan, an efficient cfDNA WGS technology that enables genome-wide error correction at single read level, achieving an error rate of 4.2 × 10-7, which is about two orders of magnitude lower than a read-centric de-noising method. Application of AccuScan to MRD demonstrated analytical sensitivity down to 10-6 circulating tumor allele fraction at 99% sample level specificity. AccuScan showed 90% landmark sensitivity (within 6 weeks after surgery) and 100% specificity for predicting relapse in colorectal cancer. It also showed 67% sensitivity and 100% specificity with esophageal cancer using samples collected within one week after surgery. When AccuScan was applied to monitor immunotherapy in melanoma patients, the circulating tumor DNA (ctDNA) levels and dynamic profiles were consistent with clinical outcomes. Overall, AccuScan provides a highly accurate WGS solution for MRD detection, empowering ctDNA detection at parts per million rangewithout requiring high sample input or personalized reagents. Citation Format: Xinxing Li, Tao Liu, Antonella Bacchiocchi, Mengxing Li, Wen Cheng, Tobias Wittkop, Fernando Mendez, Yingyu Wang, Paul Tang, George Yeung, Qianqian Yao, Marcus Bosenberg, Mario Sznol, Qin Yan, Malek Faham, Li Weng, Ruth Halaban, Hai Jin, Zhiqian Hu. Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B029.

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Journal
Clinical Cancer Research
Published
2024-11-13
DOI
https://doi.org/10.1158/1557-3265.liqbiop24-b029
Primary Topic
Molecular Biology Techniques and Applications
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article
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article

Abstract B029: Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction

Tobias Wittkop, Mario Sznol, Paul C. Tang, Hai Jin et al.
Clinical Cancer Research
Molecular Biology Techniques and Applications
article

Abstract B029: Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction

Tobias Wittkop, Mario Sznol, Paul C. Tang, Hai Jin, Li Weng, Zhiqian Hu, Qin Yan, Xinxing Li, Ruth Halaban, Marcus Bosenberg, George Yeung, Antonella Bacchiocchi, Tao Liu, Yingyu Wang, Mengxing Li, Wen Cheng, Qianqian Yao, Malek Faham, Fernando José Mato Méndez
article en

Abstract

Abstract While whole genome sequencing (WGS) of cell-free DNA (cfDNA) holds enormous promise for detection of molecularresidual disease (MRD), its performance is limited by WGS error rate. Here we introduce AccuScan, an efficient cfDNA WGS technology that enables genome-wide error correction at single read level, achieving an error rate of 4.2 × 10-7, which is about two orders of magnitude lower than a read-centric de-noising method. Application of AccuScan to MRD demonstrated analytical sensitivity down to 10-6 circulating tumor allele fraction at 99% sample level specificity. AccuScan showed 90% landmark sensitivity (within 6 weeks after surgery) and 100% specificity for predicting relapse in colorectal cancer. It also showed 67% sensitivity and 100% specificity with esophageal cancer using samples collected within one week after surgery. When AccuScan was applied to monitor immunotherapy in melanoma patients, the circulating tumor DNA (ctDNA) levels and dynamic profiles were consistent with clinical outcomes. Overall, AccuScan provides a highly accurate WGS solution for MRD detection, empowering ctDNA detection at parts per million rangewithout requiring high sample input or personalized reagents. Citation Format: Xinxing Li, Tao Liu, Antonella Bacchiocchi, Mengxing Li, Wen Cheng, Tobias Wittkop, Fernando Mendez, Yingyu Wang, Paul Tang, George Yeung, Qianqian Yao, Marcus Bosenberg, Mario Sznol, Qin Yan, Malek Faham, Li Weng, Ruth Halaban, Hai Jin, Zhiqian Hu. Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B029.

Clinical Cancer ResearchVol. 30(21_Supplement)
Tongji University (CN), Second Military Medical University (CN), Peking University (CN), Yale University (US), Changhai Hospital (CN), Peking University First Hospital (CN), Tongji Hospital (CN), Sepragen Corporation (United States) (US)
Good health and well-being
Openalex Percentile: Top 82%
Molecular Biology Techniques and Applications
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