DROPLET DIGITAL PCR AS A MOLECULAR TOOL FOR THE DETECTION OF THE EGFR T790M MUTATION IN NSCLC PATIENTS WITH THE EGFR ACTIVATING MUTATIONS
Durgut S, Salihefendić L, Pećar D, Čeko I, Mulahuseinović N, Izmirlija M, Konjhodžić R
*Corresponding Author: Selma Durgut, MD, ALEA Genetic Center, Olovska 67, 71000 Sarajevo, Bosnia and Herzegovina; Mob.: +38761904549, Email: selma.durgut@agc.ba
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Abstract

Background Almost 50% of NSCLC patients who initially show a successful response to tyrosine kinase inhibitors targeted therapy (TKI therapy) eventually develop acquired EGFR T790M mutation. The T790M secondary mutation can cause resistance to the targeted therapy and disease relapse. Since this mutation can be present at very low frequencies in liquid biopsy samples, droplet digital PCR (ddPCR), due to its high sensitivity, has opened the possibility for minimally invasive monitoring of the disease during TKI targeted therapy. Materials and methods For this study, a total of 45 plasma samples from NSCLC patients with previously detected EGFR-activating mutations were analyzed. Extracted circulating free DNA was amplified and examined for the presence of T790M mutation using ddPCR technology. For the data analysis, QuantaSoft Software was used. Results Of 45 tested plasma samples, a total of 14 samples were identified as positive for the T790M mutation. The same samples eventually showed the presence of T790M mutation in FFPE. Droplet digital PCR showed its great advantage in high sensitivity detection of rare allele variants. Our ddPCR assay detected T790M mutant allele in frequencies from 0.1%. The average number of droplets generated by ddPCR was 9571. Conclusion Monitoring of the T790M mutation has an important role in the examination of the effects of the prescribed TKI therapy. Since monitoring of potential changes during TKI therapy requires repeated sampling, our results showed that ddPCR technology has made it possible to use liquid biopsy as an adequate minimally invasive alternative for single nucleotide polymorphisms (SNP) detection.



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