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QuantiGene Plex Represents a Promising Diagnostic Tool for Cell-of-Origin Subtyping of Diffuse Large B-Cell Lymphoma.
Hall, John S; Usher, Suzanne; Byers, Richard J; Higgins, Rebekah C; Memon, Danish; Radford, John A; Linton, Kim M.
Affiliation
  • Hall JS; Lymphoma Translational Research Group, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.
  • Usher S; Lymphoma Translational Research Group, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.
  • Byers RJ; Lymphoma Translational Research Group, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.
  • Higgins RC; Lymphoma Translational Research Group, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.
  • Memon D; Applied Computational Biology and Bioinformatics Group, Cancer Research UK Manchester Institute, The University of Manchester, Manchester, United Kingdom.
  • Radford JA; Lymphoma Translational Research Group, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom; The Department of Medical Oncology, Christie National Health Service Foundation Trust, Manchester, United Kingdom.
  • Linton KM; Lymphoma Translational Research Group, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom; The Department of Medical Oncology, Christie National Health Service Foundation Trust, Manchester, United Kingdom. Electronic address: kim.linton@manchester.ac.
J Mol Diagn ; 17(4): 402-11, 2015 Jul.
Article in En | MEDLINE | ID: mdl-25982535
ABSTRACT
Emerging therapies targeting the molecularly distinct GCB and non-GCB/ABC subtypes of diffuse large B-cell lymphoma (DLBCL) have created the need to develop an accurate subtyping assay for routine use. We investigated the potential of QuantiGene Plex (QGP)-branched DNA signal amplification assay-for DLBCL subtyping. We performed in silico analysis of public DLBCL datasets to develop and validate a naïve Bayes classifier, and migrated the resulting 21-gene classifier to QGP and real-time quantitative PCR (qPCR) assays. Forty DLBCL formalin-fixed, paraffin-embedded tumors of known subtype (20 per subtype by gene expression profiling of paired fresh-frozen tissues) were reclassified, and results for QGP (on 38/40 for 21/21 targets) and qPCR (on 40/40 samples for 19/21 targets) compared for recapitulation of microarray data and classification accuracy. The 21-gene bayesian classifier achieved mean area under the curve values >0.9 on independent validation. QGP showed a higher correlation with microarray data (mean R(2) = 0.66 ± 0.05 versus 0.34 ± 0.07; P < 0.0001) and classification accuracy (92.1% versus 78.9%). The proportion of validated targets was also higher for QGP (85.7% versus 47.4%). The QGP protocol was rapid and simple to perform, at a cost similar to qPCR. These promising preliminary results strongly support ongoing work to develop a QGP companion diagnostic assay for DLBCL subtyping.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Organ Specificity / Lymphoma, Large B-Cell, Diffuse / Gene Expression Profiling / Molecular Diagnostic Techniques Type of study: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2015 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Organ Specificity / Lymphoma, Large B-Cell, Diffuse / Gene Expression Profiling / Molecular Diagnostic Techniques Type of study: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Mol Diagn Journal subject: BIOLOGIA MOLECULAR Year: 2015 Document type: Article Affiliation country: