Real-world data on NGS using the Oncomine DxTT for detecting genetic alterations in non-small-cell lung cancer: WJOG13019L.
Shinya SakataIsamu OkamotoHisako YoshidaKentaro ItoAtsushi NakamuraShunsuke TeraokaNaohisa MatsumotoYoshimasa ShiraishiKoji HarataniMotohiro TamiyaSatoshi IkedaSatoru MiuraJunko TanizakiShota OmoriHiroshige YoshiokaAkito HataNobuyuki YamamotoKazuhiko NakagawaPublished in: Cancer science (2021)
Considering the increasing number of identified driver oncogene alterations, additional genetic tests are required to determine the treatment for advanced non-small-cell lung cancer (NSCLC). Next-generation sequencing can detect multiple driver oncogenes simultaneously, enabling the analysis of limited amounts of biopsied tissue samples. In this retrospective, multicenter study (UMIN ID000039523), we evaluated real-world clinical data using the Oncomine Dx Target Test Multi-CDx System (Oncomine DxTT) as a companion diagnostic system. Patients with NSCLC who were tested for a panel of 46 genes using the Oncomine DxTT between June 2019 and January 2020 were eligible for enrollment. Patients from 19 institutions affiliated to the West Japan Oncology Group were recruited. The primary endpoint of the study was the success rate of genetic alteration testing in four driver genes (EGFR, ALK, ROS1, and BRAF) using the Oncomine DxTT. In total, 533 patients were enrolled in the study. The success rate of genetic alteration testing for all four genes was 80.1% (95% CI 76.5%-83.4%). Surgical resection was associated with the highest success rate (88.0%), which was significantly higher than that for bronchoscopic biopsy (76.8%, P = .005). Multivariate analysis revealed a significant difference for surgical resection alone (P = .006, 95% CI 1.36-6.18, odds ratio 2.90). Although the success rate of genetic alteration testing immediately after Oncomine DxTT induction was not sufficient in this study, optimizing specimen quantity and quality may improve the use of driver gene testing in clinical settings.
Keyphrases
- genome wide
- advanced non small cell lung cancer
- copy number
- small cell lung cancer
- end stage renal disease
- ejection fraction
- newly diagnosed
- epidermal growth factor receptor
- chronic kidney disease
- dna methylation
- prognostic factors
- patient reported outcomes
- healthcare
- peritoneal dialysis
- health insurance
- combination therapy
- reactive oxygen species
- single cell
- genome wide analysis