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Automated next-generation profiling of genomic alterations in human cancers.

Publication ,  Journal Article
Keefer, LA; White, JR; Wood, DE; Gerding, KMR; Valkenburg, KC; Riley, D; Gault, C; Papp, E; Vollmer, CM; Greer, A; Hernandez, J; McGregor, PM ...
Published in: Nat Commun
May 20, 2022

The lack of validated, distributed comprehensive genomic profiling assays for patients with cancer inhibits access to precision oncology treatment. To address this, we describe elio tissue complete, which has been FDA-cleared for examination of 505 cancer-related genes. Independent analyses of clinically and biologically relevant sequence changes across 170 clinical tumor samples using MSK-IMPACT, FoundationOne, and PCR-based methods reveals a positive percent agreement of >97%. We observe high concordance with whole-exome sequencing for evaluation of tumor mutational burden for 307 solid tumors (Pearson r = 0.95) and comparison of the elio tissue complete microsatellite instability detection approach with an independent PCR assay for 223 samples displays a positive percent agreement of 99%. Finally, evaluation of amplifications and translocations against DNA- and RNA-based approaches exhibits >98% negative percent agreement and positive percent agreement of 86% and 82%, respectively. These methods provide an approach for pan-solid tumor comprehensive genomic profiling with high analytical performance.

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Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

May 20, 2022

Volume

13

Issue

1

Start / End Page

2830

Location

England

Related Subject Headings

  • Precision Medicine
  • Neoplasms
  • Mutation
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Genomics
  • Biomarkers, Tumor
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Keefer, L. A., White, J. R., Wood, D. E., Gerding, K. M. R., Valkenburg, K. C., Riley, D., … Sausen, M. (2022). Automated next-generation profiling of genomic alterations in human cancers. Nat Commun, 13(1), 2830. https://doi.org/10.1038/s41467-022-30380-x
Keefer, Laurel A., James R. White, Derrick E. Wood, Kelly M. R. Gerding, Kenneth C. Valkenburg, David Riley, Christopher Gault, et al. “Automated next-generation profiling of genomic alterations in human cancers.Nat Commun 13, no. 1 (May 20, 2022): 2830. https://doi.org/10.1038/s41467-022-30380-x.
Keefer LA, White JR, Wood DE, Gerding KMR, Valkenburg KC, Riley D, et al. Automated next-generation profiling of genomic alterations in human cancers. Nat Commun. 2022 May 20;13(1):2830.
Keefer, Laurel A., et al. “Automated next-generation profiling of genomic alterations in human cancers.Nat Commun, vol. 13, no. 1, May 2022, p. 2830. Pubmed, doi:10.1038/s41467-022-30380-x.
Keefer LA, White JR, Wood DE, Gerding KMR, Valkenburg KC, Riley D, Gault C, Papp E, Vollmer CM, Greer A, Hernandez J, McGregor PM, Zingone A, Ryan BM, Deak K, McCall SJ, Datto MB, Prescott JL, Thompson JF, Cerqueira GC, Jones S, Simmons JK, McElhinny A, Dickey J, Angiuoli SV, Diaz LA, Velculescu VE, Sausen M. Automated next-generation profiling of genomic alterations in human cancers. Nat Commun. 2022 May 20;13(1):2830.

Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

May 20, 2022

Volume

13

Issue

1

Start / End Page

2830

Location

England

Related Subject Headings

  • Precision Medicine
  • Neoplasms
  • Mutation
  • Humans
  • High-Throughput Nucleotide Sequencing
  • Genomics
  • Biomarkers, Tumor