Automated next-generation profiling of genomic alterations in human cancers
oleh: 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
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-05-01 |
Deskripsi
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.