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Metadata record for the manuscript: Analytical validation of a targeted liquid biopsy assay with comprehensive molecular and clinical profiling of circulating tumor DNA from 1,000 patients

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https://figshare.com/articles/dataset/Metadata_record_for_the_manuscript_Analytical_validation_of_a_targeted_liquid_biopsy_assay_with_comprehensive_molecular_and_clinical_profiling_of_circulating_tumor_DNA_from_1_000_patients/14672673
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Summary This metadata record provides details of the data supporting the claims of the related manuscript: “Validation of a liquid biopsy assay with molecular and clinical profiling of circulating tumor DNA”. The related study presents extensive validation studies of the Tempus xF liquid biopsy assay (a 105-gene, hybrid-capture, next-generation sequencing (NGS) assay that detects single-nucleotide variants, insertions/deletions, copy number variants, and chromosomal rearrangements) using reference standards, cell lines, and patient samples that establish high sensitivity, specificity, and accuracy in variant detection. Type of data: liquid biopsy Subject of data: Homo sapiens Sample size: 1000 Recruitment: randomly selected cancer patients who had clinical plasma specimens sequenced with the xF panel at CAP/CLIA-certified Tempus Labs, Inc. Data access The de-identified clinical data that support findings from the retrospective profiling study have been deposited in the Vivli repository (https://vivli.org/) in the file ‘xf_1000_De-identified_Phenotypic_Data_and_ctFE.tsv’ under the following accession: T20.01 (https://search.vivli.org/?search=T20.01). Access is restricted, and interested parties must make an authorised request to the Vivli repository. The following supplementary tables are openly available in accessible format as part of this figshare data record: - Supplementary Table 4.xlsx. This table underlies Figure 1 of the related article: Inter-assay comparison between Tempus xF, ddPCR, and Tempus xT results. - Supplementary Table 1. Analysis Variants detected by the Tempus xF assay - Supplementary Table 2. Overview of samples and experiments - Supplementary Table 3. Probabilistic noise filtering methodology improves variant Raw data from the validation experiments were generated and analysed as part of a CAP/CLIA validation. As such, they are not publicly available but have been thoroughly reviewed by those governing authorities. Corresponding author(s) for this study Nike Beaubier, Tempus Labs, Chicago, IL, USA. Nike.Beaubier@tempus.com. Study approval The study protocol was submitted to the Advarra Institutional Review Board (IRB), which determined the research was exempt from IRB oversight and approved a waiver of HIPAA authorization for this study.
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2021-06-09
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