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Genomic approaches to cancer and minimal residual disease detection using circulating tumor DNA

Nicholas P. SemenkovichDivision of Endocrinology, Metabolism, and Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USAJeffrey J. SzymanskiDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, USANoah EarlandDivision of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri, USAPradeep S. ChauhanDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, USABruna PelliniDepartment of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, Florida, USAAadel A. ChaudhuriDepartment of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri, USA
2023en
ABI

Аннотация

Liquid biopsies using cell-free circulating tumor DNA (ctDNA) are being used frequently in both research and clinical settings. ctDNA can be used to identify actionable mutations to personalize systemic therapy, detect post-treatment minimal residual disease (MRD), and predict responses to immunotherapy. ctDNA can also be isolated from a range of different biofluids, with the possibility of detecting locoregional MRD with increased sensitivity if sampling more proximally than blood plasma. However, ctDNA detection remains challenging in early-stage and post-treatment MRD settings where ctDNA levels are minuscule giving a high risk for false negative results, which is balanced with the risk of false positive results from clonal hematopoiesis. To address these challenges, researchers have developed ever-more elegant approaches to lower the limit of detection (LOD) of ctDNA assays toward the part-per-million range and boost assay sensitivity and specificity by reducing sources of low-level technical and biological noise, and by harnessing specific genomic and epigenomic features of ctDNA. In this review, we highlight a range of modern assays for ctDNA analysis, including advancements made to improve the signal-to-noise ratio. We further highlight the challenge of detecting ultra-rare tumor-associated variants, overcoming which will improve the sensitivity of post-treatment MRD detection and open a new frontier of personalized adjuvant treatment decision-making.

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