Cancers (Aug 2021)

Blood-Based Multi-Cancer Detection Using a Novel Variant Calling Assay (DEEPGEN<sup>TM</sup>): Early Clinical Results

  • Frederic Ris,
  • Minia Hellan,
  • Jonathan Douissard,
  • Jorge J. Nieva,
  • Frederic Triponez,
  • Yanghee Woo,
  • David Geller,
  • Nicolas C. Buchs,
  • Leo Buehler,
  • Stefan Moenig,
  • Christophe E. Iselin,
  • Wolfram Karenovics,
  • Patrick Petignat,
  • Giang Thanh Lam,
  • Manuela Undurraga Malinervo,
  • Rebecca Tuttle,
  • James Ouellette,
  • Debashish Bose,
  • Nael Ismail,
  • Christian Toso

DOI
https://doi.org/10.3390/cancers13164104
Journal volume & issue
Vol. 13, no. 16
p. 4104

Abstract

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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.

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