2022 World Conference on Lung Cancer (ePosters)-EP11.01-005. Ultra-Fast Gene Fusion Assessment as a Reflex Testing in Daily Clinical Practice for Advanced Non-small Cell Lung Cancer Patients

EP11.01-005. Ultra-Fast Gene Fusion Assessment as a Reflex Testing in Daily Clinical Practice for Advanced Non-small Cell Lung Cancer Patients

Back to course

Pdf Summary

A study was conducted to compare the diagnostic performance of two ultra-fast gene fusion assessment (UFGFA) methods using next generation sequencing (NGS) and multiplex RT-PCR approaches in non-squamous non-small cell lung carcinoma (NS-NSCLC). The study included 195 NS-NSCLC cases, with 113 known gene fusions and 82 wild type tumors. The accuracy of the two UFGFA methods was 92.3% for the RT-PCR approach and 93.1% for the NGS approach. Both systems showed improved sensitivity for detection by including 5'-3' imbalance analysis. However, the RT-PCR approach had limited sensitivity for NTRK fusions. The study concluded that both UFGFA methods demonstrated equal gene fusion detection with some technique-specific limitations.<br /><br />The study also compared the specificity, negative predictive value (NPV), and positive predictive value (PPV) of the two UFGFA methods. The specificity was 95.1% for the RT-PCR approach and 92.7% for the NGS approach. The NPV and PPV varied depending on the specific gene fusion being detected.<br /><br />The study suggests that ultra-fast routine detection of gene fusions in NS-NSCLC is feasible using both the NGS and RT-PCR approaches, despite their limitations. This could enable quicker clinical decision making and broad screening for targeted therapies.<br /><br />In summary, the study compared two ultra-fast gene fusion assessment methods for NS-NSCLC and found that both the NGS and RT-PCR approaches showed similar gene fusion detection capabilities. However, the RT-PCR approach had limited sensitivity for NTRK fusions. The study concludes that ultra-fast routine detection of gene fusions is feasible using both approaches, allowing for faster therapy initiation and broad screening.

Asset Subtitle

Paul Hofman

Meta Tag

Speaker Paul Hofman

Topic Pathology - Genomics & Analytics

Keywords

ultra-fast gene fusion assessment

next generation sequencing

multiplex RT-PCR

non-squamous non-small cell lung carcinoma

diagnostic performance

gene fusion detection

sensitivity

specificity

negative predictive value

positive predictive value