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Clinical Validation and Diagnostic Utility of Optical Genome Mapping for Enhanced Cytogenomic Analysis of Hematological Neoplasms.
Sahajpal, Nikhil S; Mondal, Ashis K; Tvrdik, Tatiana; Hauenstein, Jennifer; Shi, Huidong; Deeb, Kristin K; Saxe, Debra; Hastie, Alex R; Chaubey, Alka; Savage, Natasha M; Kota, Vamsi; Kolhe, Ravindra.
Afiliação
  • Sahajpal NS; Department of Pathology, Medical College of Georgia at Augusta University, Augusta, Georgia.
  • Mondal AK; Department of Pathology, Medical College of Georgia at Augusta University, Augusta, Georgia.
  • Tvrdik T; Department of Pathology, Emory University, Atlanta, Georgia.
  • Hauenstein J; Bionano Genomics Inc., San Diego, California.
  • Shi H; Georgia Cancer Center, Augusta University, Augusta, Georgia.
  • Deeb KK; Department of Pathology, Emory University, Atlanta, Georgia.
  • Saxe D; Department of Pathology, Emory University, Atlanta, Georgia.
  • Hastie AR; Bionano Genomics Inc., San Diego, California.
  • Chaubey A; Bionano Genomics Inc., San Diego, California.
  • Savage NM; Department of Pathology, Medical College of Georgia at Augusta University, Augusta, Georgia.
  • Kota V; Department of Medicine, Medical College of Georgia at Augusta University, Augusta, Georgia.
  • Kolhe R; Department of Pathology, Medical College of Georgia at Augusta University, Augusta, Georgia. Electronic address: rkolhe@augusta.edu.
J Mol Diagn ; 24(12): 1279-1291, 2022 12.
Article em En | MEDLINE | ID: mdl-36265723
ABSTRACT
The current standard-of-care cytogenetic techniques for the analysis of hematological malignancies include karyotyping, fluorescence in situ hybridization, and chromosomal microarray, which are labor intensive and time and cost prohibitive, and they often do not reveal the genetic complexity of the tumor, demonstrating the need for alternative technology for better characterization of these tumors. Herein, we report the results from our clinical validation study and demonstrate the utility of optical genome mapping (OGM), evaluated using 92 sample runs (including replicates) that included 69 well-characterized unique samples (59 hematological neoplasms and 10 controls). The technical performance (quality control metrics) resulted in 100% first-pass rate, with analytical performance (concordance) showing a sensitivity of 98.7%, a specificity of 100%, and an accuracy of 99.2%. OGM demonstrated robust technical, analytical performance, and interrun, intrarun, and interinstrument reproducibility. The limit of detection was determined to be at 5% allele fraction for aneuploidy, translocation, interstitial deletion, and duplication. OGM identified several additional structural variations, revealing the genomic architecture in these neoplasms that provides an opportunity for better tumor classification, prognostication, risk stratification, and therapy selection. Overall, OGM has outperformed the standard-of-care tests in this study and demonstrated its potential as a first-tier cytogenomic test for hematologic malignancies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Hematológicas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Hematológicas Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article