Abstract 4942
Background
OncoMasTR is a new multigene prognostic test that was discovered via a novel transcriptional network analysis method that identified upstream Master Transcription Regulators (MTRs), which regulate previously identified prognostic biomarkers. The optimised OncoMasTR signature incorporating clinicopathological information has been shown to be significantly prognostic for predicting distant recurrence in two independent cohorts (TransATAC & a subset of TAILORx from participating Irish centres). The analytical performance characteristics of the OncoMasTR test, comprising solely three prognostic MTRs, were determined.
Methods
Relative gene expression levels were measured by RT-qPCR. Assay precision and input ranges were determined using a panel of samples representative of low and high recurrence risk tested across a number of runs incorporating different sources of variation. Serial dilutions of a pooled patient RNA sample was used to establish the linear range and efficiency of the individual gene assays.
Results
The overall standard deviation of the OncoMasTR risk score was 0.15, which represents less than 2% of the 10-unit risk score range. The majority of the variability in OncoMasTR results was related to within-run variation (78.2%) with other between-run variation sources contributing relatively little (PCR instrument (0.6%), assay operator (5.2%), reagent lots (7.3%) or loading position (8.7%)). Consistent risk scores were measured for individual samples from 40ng down to < 1ng RNA per PCR reaction. Individual gene assays were linear over >500-fold RNA input range corresponding to CT values of 23 – 36, demonstrating the ability of the test to reliably detect low level expression of the OncoMasTR panel. Importantly, PCR efficiencies were similar for the individual MTR and reference gene assays which ranged from 79 – 95%.
Conclusions
The OncoMasTR prognostic test displays robust analytical and clinical performance and is being launched as a CE-marked test. The concise nature of the three gene signature and a simplified workflow that can be readily adopted using standard laboratory equipment will enable convenient qualification by local laboratories for decentralised use.
Clinical trial identification
Legal entity responsible for the study
OncoMark Limited.
Funding
EU Horizon 2020 SME Instrument.
Editorial Acknowledgement
Disclosure
T. Loughman, A. Chan-Ju Wang, P. Dynoodt, B. Fender, C. Lopez Ruiz, S. Barron, S. Stapleton: Employee: OncoMark Limited. D. O’Leary, W.M. Gallagher: Director and shareholder: OncoMark Limited. A. Fabre, C. Quinn: Consultant histopatholgist: OncoMark Limited. A. Bracken: Co-inventor and patent holder for OncoMasTR. All other authors have declared no conflicts of interest.
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