Scientific article
Open access

Blood-based multi-cancer detection using a novel variant calling assay (DEEPGENTM): early clinical results

Published inCancers, vol. 13, no. 16, 4104
Publication date2021

This is an early clinical analysis of the DEEPGENTM platform for cancer detection. Newly diagnosed cancer patients and individuals with no known malignancy were included in a prospective open-label case-controlled study (NCT03517332). Plasma cfDNA that was extracted from peripheral blood was sequenced and data were processed using machine-learning algorithms to derive cancer prediction scores. A total of 260 cancer patients and 415 controls were included in the study. Overall, sensitivity for all cancers was 57% (95% CI: 52, 64) at 95% specificity, and 43% (95% CI: 37, 49) at 99% specificity. With 51% sensitivity and 95% specificity for all stage 1 cancers, the stage-specific sensitivities trended to improve with higher stages. Early results from this preliminary clinical, prospective evaluation of the DEEPGENTM liquid biopsy platform suggests the platform offers a clinically relevant ability to differentiate individuals with and without known cancer, even at early stages of cancer.

  • Cancer detection
  • Cancer screening
  • Cell-free DNA
  • Early detection
  • Liquid biopsy
  • Machine-learning
Citation (ISO format)
RIS, Frédéric et al. Blood-based multi-cancer detection using a novel variant calling assay (DEEPGENTM): early clinical results. In: Cancers, 2021, vol. 13, n° 16, p. 4104. doi: 10.3390/cancers13164104
Main files (1)
Article (Published version)
ISSN of the journal2072-6694

Technical informations

Creation09/02/2021 2:12:00 PM
First validation09/02/2021 2:12:00 PM
Update time03/16/2023 1:56:58 AM
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