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Ultra-sensitive molecular residual disease detection through whole genome sequencing with single-read error correction.
Li, Xinxing; Liu, Tao; Bacchiocchi, Antonella; Li, Mengxing; Cheng, Wen; Wittkop, Tobias; Mendez, Fernando L; Wang, Yingyu; Tang, Paul; Yao, Qianqian; Bosenberg, Marcus W; Sznol, Mario; Yan, Qin; Faham, Malek; Weng, Li; Halaban, Ruth; Jin, Hai; Hu, Zhiqian.
  • Li X; Department of Gastrointestinal Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P. R. China.
  • Liu T; Department of Thoracic Surgery, Peking University First Hospital, Beijing, 100034, China.
  • Bacchiocchi A; Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA.
  • Li M; Department of Thoracic Surgery, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China.
  • Cheng W; Department of Thoracic Surgery, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, 200433, China.
  • Wittkop T; Department of Research and Development, AccuraGen Inc, San Jose, CA, 95134, USA.
  • Mendez FL; Department of Research and Development, AccuraGen Inc, San Jose, CA, 95134, USA.
  • Wang Y; Department of Research and Development, AccuraGen Inc, San Jose, CA, 95134, USA.
  • Tang P; Department of Research and Development, AccuraGen Inc, San Jose, CA, 95134, USA.
  • Yao Q; Department of Medical Science, Shanghai YunSheng Medical Laboratory Co., Ltd, Shanghai, 200437, China.
  • Bosenberg MW; Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA.
  • Sznol M; Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
  • Yan Q; Yale Center for Immuno-Oncology, Yale School of Medicine, New Haven, CT, USA.
  • Faham M; Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
  • Weng L; Department of Internal Medicine, Section of Medical Oncology, Yale University School of Medicine, New Haven, CT, USA.
  • Halaban R; Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
  • Jin H; Yale Center for Immuno-Oncology, Yale School of Medicine, New Haven, CT, USA.
  • Hu Z; Department of Pathology, Yale University, New Haven, CT, USA.
EMBO Mol Med ; 2024 Aug 20.
Article en En | MEDLINE | ID: mdl-39164471
ABSTRACT
While whole genome sequencing (WGS) of cell-free DNA (cfDNA) holds enormous promise for detection of molecular residual 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. The application of AccuScan to MRD demonstrated analytical sensitivity down to 10-6 circulating variant allele frequency 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 in 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 range without requiring high sample input or personalized reagents.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article