Literature DB >> 24619758

Quantitative assessment of mutant allele burden in solid tumors by semiconductor-based next-generation sequencing.

Bryce P Portier1, Rashmi Kanagal-Shamanna, Rajyalakshmi Luthra, Rajesh Singh, Mark J Routbort, Brian Handal, Neelima Reddy, Bedia A Barkoh, Zhuang Zuo, L Jeffrey Medeiros, Kenneth Aldape, Keyur P Patel.   

Abstract

OBJECTIVES: Identification of tumor-specific somatic mutations has had a significant impact on both disease diagnosis and therapy selection. The ability of next-generation sequencing (NGS) to provide a quantitative assessment of mutant allele burden, in numerous target genes in a single assay, provides a significant advantage over conventional qualitative genotyping platforms.
METHODS: We assessed the quantitative capability of NGS and a primer extension-based matrix-assisted laser desorption ionization-time-of-flight (PE-MALDI) assay and directly correlated NGS mutant allele burden determination to morphologic assessment of tumor percentage in H&E-stained slides.
RESULTS: Our results show a 100% concordance between NGS and PE-MALDI in mutant allele detection and a significant correlation between NGS and PE-MALDI for determining mutant allele burden when mutant allele burden is 10% or more.
CONCLUSIONS: NGS-based mutation screening provides a quantitative assessment comparable to that of PE-MALDI. In addition, NGS also allows for a high degree of multiplexing and uses nanogram quantities of DNA, thereby preserving precious material for future analysis. Furthermore, this study provides evidence that H&E-based morphologic assessment of tumor burden does not correlate to actual tumor mutant allele burden frequency.

Entities:  

Keywords:  AmpliSeq Cancer Panel; Ion Torrent; Massarray; Mutant allele burden; Mutant allele frequency; Next-generation sequencing; Sequenom

Mesh:

Year:  2014        PMID: 24619758     DOI: 10.1309/AJCP1JUGQMW7ZNTL

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


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