Document Type
Article
Publication Date
8-15-2021
Abstract
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.
Repository Citation
Tuttle, R. M.,
Ris, F.,
Hellan, M.,
Douissard, J.,
Nieva, J. J.,
Triponez, F.,
Woo, Y.,
Geller, D.,
Buchs, N. C.,
Buehler, L.,
Moenig, S.,
Iselin, C. E.,
Karenovics, W.,
Petignat, P.,
Lam, G. T.,
Malinervo, M. U.,
Ouellette, J. R.,
Bose, D.,
Ismail, N.,
& Toso, C.
(2021). Blood-Based Multi-Cancer Detection Using a Novel Variant Calling Assay (DEEPGENTM): Early Clinical Results. Cancers, 13 (16), 4104.
https://corescholar.libraries.wright.edu/surg/821
DOI
10.3390/cancers13164104
Comments
This work is licensed under a Creative Commons Attribution 4.0 International License.