META-ANALYSIS OF NEXT GENERATION SEQUENCING PANEL USING CIRCULATING TUMOR DNA IN PATIENT WITH ADVANCED NON-SMALL CELL LUNG CANCER
Author(s)
Ho R1, Sebastião M2, Carvalho J2, Bramley S3, Schneider C4, Nussbaum M2
1Roche Diagnostics Brazil, S PAULO, SP, Brazil, 2Roche Diagnostics Brazil, São Paulo, Brazil, 3Roche Sequencing Solutions, West Sussex, UK, 4Roche Sequencing Solutions, Pleasanton, CA, USA
OBJECTIVES: The aim of this study was to conduct a systematic review and a meta-analysis in order to determine the accuracy of next generation sequencing (NGS) panel using circulating tumor DNA (ctDNA) to detect known actionable oncogenic driver alterations in patient with advanced non-small cell lung cancer (aNSCLC). METHODS: MEDLINE/PubMed, Cochrane library, LILACS and Centre for Reviews and Dissemination databases and articles obtained from other sources were searched for relevant studies that evaluate the accuracy (sensitivity and specificity) of NGS using ctDNA in patient with aNSCLC. The studies were eligible when NGS of ctDNA was compared with tissue tests to detect at least one of the following oncogenic driver alterations: EGFR, ALK, ROS-1 and BRAF. Diagnostic measures (sensitivity and specificity) were pooled with a bivariate diagnostic random-effect. All statistical analyses were performed with R-package mada. RESULTS: Seven studies were eligible for data extraction. The overall pooled estimates of sensitivity, specificity and area under curve were 78.1% (95% confidence interval, 66.3% to 86.6%); 98.2% (95% confidence interval, 93.9% - 99.5%); 94.8%, respectively. CONCLUSIONS: The analysis has demonstrated that the NGS panel of ctDNA has a high accuracy to identify the four actionable oncogenic driver alterations in patient with aNSCLC.
Conference/Value in Health Info
2020-05, ISPOR 2020, Orlando, FL, USA
Value in Health, Volume 23, Issue 5, S1 (May 2020)
Code
PMU93
Topic
Clinical Outcomes, Medical Technologies
Topic Subcategory
Comparative Effectiveness or Efficacy, Diagnostics & Imaging
Disease
Medical Devices, Oncology, Personalized and Precision Medicine