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Automated next-generation profiling of genomic alterations in human cancers

Authors :
Laurel A. Keefer
James R. White
Derrick E. Wood
Kelly M. R. Gerding
Kenneth C. Valkenburg
David Riley
Christopher Gault
Eniko Papp
Christine M. Vollmer
Amy Greer
James Hernandez
Paul M. McGregor
Adriana Zingone
Bríd M. Ryan
Kristen Deak
Shannon J. McCall
Michael B. Datto
James L. Prescott
John F. Thompson
Gustavo C. Cerqueira
Siân Jones
John K. Simmons
Abigail McElhinny
Jennifer Dickey
Samuel V. Angiuoli
Luis A. Diaz
Victor E. Velculescu
Mark Sausen
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

The genomic profiling of tumours has not been widely adopted in the clinic due to technical and practical hurdles. Here, the authors develop PGDx elio tissue complete, a scalable, standardised and FDA-cleared test comprising a targeted gene panel and automated machine-learning analysis, which detects clinically relevant sequence biomarkers in cancer samples.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.4aa27119f0a4f1f9ac75c8283f59ea8
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-30380-x