Validation of the Idylla GeneFusion assay to detect fusions and MET exon-skipping in non-small cell lung cancers.
Fiche publication
Date publication
août 2023
Journal
Scientific reports
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HARLE Alexandre, Pr MERLIN Jean-Louis, Dr GILSON Pauline
Tous les auteurs :
Gilson P, Pouget C, Belmonte R, Fadil S, Demange J, Rouyer M, Lacour J, Betz M, Dardare J, Witz A, Merlin JL, Harlé A
Lien Pubmed
Résumé
Gene fusions and MET exon skipping drive oncogenesis in 8-9% and 3% of non-small cell lung cancers (NSCLC) respectively. Their detection are essential for the management of patients since they confer sensitivity to specific targeted therapies with significant clinical benefit over conventional chemotherapy. Immunohistochemistry (IHC) and fluorescent in situ hybridization (FISH) account for historical reference techniques however molecular-based technologies (RNA-based sequencing and RT-PCR) are emerging as alternative or complementary methods. Here, we evaluated the analytical performance of the fully-automated RT-PCR Idylla GeneFusion assay compared to reference methods using 35 fixed NSCLC samples. Idylla demonstrated overall agreement, sensitivity and specificity of 100% compared to RNASeq. Interestingly, it succeeded in retrieving 10 out of 11 samples with inconclusive results due to insufficient RNA quality for sequencing. Idylla showed an overall agreement, sensitivity and specificity of 90.32%, 91.67% and 89.47% compared to IHC/FISH respectively. Using commercial standards, the limit of detection of the Idylla system for the most frequent fusions and exon skipping ranges between 5 and 10 ng RNA input. These results support that the Idylla assay is a reliable and rapid option for the detection of these alterations, however a particular attention is needed for the interpretation of the expression imbalance.
Mots clés
Humans, Carcinoma, Non-Small-Cell Lung, genetics, Lung Neoplasms, genetics, In Situ Hybridization, Fluorescence, RNA, Exons, genetics, Mutation
Référence
Sci Rep. 2023 08 9;13(1):12909