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Validation of a Targeted Next-Generation Sequencing Panel for Tumor Mutation Burden Analysis: Results from the Onconetwork Immuno-Oncology Consortium

Authors :
Fenizia, Francesca
Alborelli, Ilaria
Costa, Jose Luis
Vollbrecht, Claudia
Bellosillo, Beatriz
Dinjens, Winand
Endris, Volker
Heydt, Carina
Leonards, Katharina
Merkelback-Bruse, Sabine
Pfarr, Nicole
van Marion, Ronald
Allen, Christopher
Chaudhary, Ruchi
Gottimukkala, Rajesh
Hyland, Fiona
Wong-Ho, Elaine
Jermann, Philip
Machado, Jose Carlos
Hummel, Michael
Stenzinger, Albrecht
Normanno, Nicola
Pathology
Source :
Journal of Molecular Diagnostics, 23(7), 882-893. Elsevier Inc.
Publication Year :
2020

Abstract

Tumor mutation burden (TMB) is evaluated as a biomarker of response to immunotherapy. We present the efforts of the Onconetwork Immuno-Oncology Consortium to validate a commercial targeted sequencing test for TMB calculation. A three-phase study was designed to validate the Oncomine Tumor Mutational Load (OTML) assay at nine European laboratories. Phase 1 evaluated reproducibility and accuracy on seven control samples. In phase 2, six formalin-fixed, paraffin-embedded samples tested with FoundationOne were reanalyzed with the OTML panel to evaluate concordance and reproducibility. Phase 3 involved analysis of 90 colorectal cancer samples with known microsatellite instability (MSI) status to evaluate TMB and MSI association. High reproducibility of TMB was demonstrated among the sites in the first and second phases. Strong correlation was also detected between mean and expected TMB in phase 1 (r2 = 0.998) and phase 2 (r2 = 0.96). Detection of actionable mutations was also confirmed. In colorectal cancer samples, the expected pattern of MSI-high/high-TMB and microsatellite stability/low-TMB was present, and gene signatures produced by the panel suggested the presence of a POLE mutation in two samples. The OTML panel demonstrated robustness and reproducibility for TMB evaluation. Results also suggest the possibility of using the panel for mutational signatures and variant detection. Collaborative efforts between academia and companies are crucial to accelerate the translation of new biomarkers into clinical research.

Details

ISSN :
19437811 and 15251578
Volume :
23
Issue :
7
Database :
OpenAIRE
Journal :
The Journal of molecular diagnostics : JMD
Accession number :
edsair.pmid.dedup....44e5057bb6a695a1b4eb8827813ae915