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QuantiGene Plex – a promising diagnostic tool for cell-of-origin subtyping of diffuse large B cell lymphoma" was successfully entered into The Journal of Molecular Diagnostics

John Simon Hall, Suzanne Usher, Richard John Byers, Rebekah Clare Higgins, Danish Memon, John Anthony Radford and Kim M Linton

The Journal of Molecular Diagnostics. 2015;.

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Abstract

Background: In the era of cell-of-origin targeted therapeutics, personalized management of DLBCL requires co-development of a companion diagnostic assay for ABC/GCB subtyping. Current classification methods are costly/complex (microarray expression profiling) or lack reproducibility and diagnostic precision (immunophenotyping). We investigated the potential of QuantiGene Plex (QGP), a branched DNA signal amplification assay, as a low-cost option with high detection sensitivity from formalin-fixed paraffin embedded (FFPE) tissue. Methods: We performed in silico analysis of public DLBCL datasets to develop/validate a naïve Bayes classifier. The 21-gene classifier was migrated to QGP and qPCR assays for re-classification of 40 DLBCL FFPE tumors of known subtype (20 ABC, 20 GCB by gene expression profiling of paired fresh-frozen tissues). Data were compared for recapitulation of microarray data and classification accuracy. Results: The 21-gene Bayesian classifier achieved mean AUC values >0.9 on independent validation. QGP was performed on 38/40 samples for 21/21 targets. qPCR was performed on 40/40 samples for 19/21 targets. QGP showed a higher correlation with microarray data (mean R2 0.66±0.05 vs 0.34±0.07, p<0.0001) and classification accuracy (92.1% vs 78.9%). The proportion of validated targets was also higher for QGP (85.7% vs 47.4%). The QGP protocol was rapid and simple to perform, at a cost similar to qPCR. Conclusions: These promising preliminary results strongly support ongoing work to develop a QGP DLBCL companion diagnostic assay.

Bibliographic metadata

Type of resource:
Content type:
Publication status:
Submitted
Publication type:
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Published date:
Submitted date:
2015-01-16
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Funding awarded to University:
  • MRC - RESMRC
Funding awarded externally:
Research data access statement included:
Not applicable
Attached files embargo period:
Immediate release
Attached files release date:
29th January, 2015
Access state:
Active

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University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:256694
Created by:
Linton, Kim
Created:
29th January, 2015, 23:12:23
Last modified by:
Linton, Kim
Last modified:
16th December, 2015, 08:30:15

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