ArticleScientific reports2019
eVIDENCE: a practical variant filtering for low-frequency variants detection in cell-free DNA.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Sensitive detection of tumor mutations from blood and its application to immunotherapy prognosis.Nature communications · 2021Trial
- High Sensitivity ctDNA Analysis Using a Novel Panel and NOIR-SS Technology for Monitoring Advanced Urothelial Carcinoma.Cancer medicine · 2026Article
- Predictive value of baseline levels and early dynamic changes of ctDNA for 28-day mortality in ICU patients with advanced lung cancer: a prospective single-center cohort study.Frontiers in molecular biosciences · 2026Article
- Circulating tumor DNA in clinical trials for solid tumors: Challenges and current applications.The journal of liquid biopsy · 2023Review
- Network approach in liquidomics landscape.Journal of experimental & clinical cancer research : CR · 2023Review
- Recommendations for a practical implementation of circulating tumor DNA mutation testing in metastatic non-small-cell lung cancer.ESMO open · 2022Review
- Cell-Free-DNA-Based Copy Number Index Score in Epithelial Ovarian Cancer-Impact for Diagnosis and Treatment Monitoring.Cancers · 2021Article
- Detection of von Hippel-Lindau gene mutation in circulating cell-free DNA for clear cell renal cell carcinoma.Cancer science · 2021Article
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Authors and funding
17 authors.
Funding
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Abstract
Plasma cell-free DNA (cfDNA) testing plays an increasingly important role in precision medicine for cancer. However, circulating cell-free tumor DNA (ctDNA) is highly diluted by cfDNA from non-cancer cells, complicating ctDNA detection and analysis. To identify low-frequency variants, we developed a program, eVIDENCE, which is a workflow for filtering candidate variants detected by using the ThruPLEX tag-seq (Takara Bio), a commercially-available molecular barcoding kit. We analyzed 27 cfDNA samples from hepatocellular carcinoma patients. Sequencing libraries were constructed and hybridized to our custom panel targeting about 80 genes. An initial variant calling identified 36,500 single nucleotide variants (SNVs) and 9,300 insertions and deletions (indels) across the 27 samples, but the number was much greater than expected when compared with previous cancer genome studies. eVIDENCE was applied to the candidate variants and finally 70 SNVs and 7 indels remained. Of the 77 variants, 49 (63.6%) showed VAF of < 1% (0.20-0.98%). Twenty-five variants were selected in an unbiased manner and all were successfully validated, suggesting that eVIDENCE can identify variants with VAF of ≥ 0.2%. Additionally, this study is the first to detect hepatitis B virus integration sites and genomic rearrangements in the TERT region from cfDNA of HCC patients. We consider that our method can be applied in the examination of cfDNA from other types of malignancies using specific custom gene panels and will contribute to comprehensive ctDNA analysis.
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