Abstract
Background: Gene mutation analysis from plasma circulating tumor DNA (ctDNA) can provide timely information regarding the mechanism of resistance that could translate to personalised treatment. We compared concordance rate of next generation sequencing (NGS) and droplet digital polymerase chain reaction (ddPCR) in the detection of the EGFR activating and T790M mutation from plasma ctDNA with diagnostic tissue biopsy‐based assays. The second objective was to test whether putative osimertinib resistance associated mutations were detectable from plasma using NGS. Methods: From January 2016 to December 2017, we prospectively collected plasma samples from patients prior to commencement of second‐ or third‐line osimertinib therapy and upon disease progression, in a single tertiary hospital in South Western Sydney, Australia. Amplicon‐based NGS and ddPCR assays were used to detect activating epidermal growth factor receptor (EGFR) and T790M mutations in 18 plasma samples from nine patients; all patients were required to have tissue biopsies with known EGFR status. Results: High concordance of allelic fractions were seen in matched plasma NGS and ddPCR for activating EGFR mutations and T790M mutations (R2 = 0.92, P < 0.0001). Using tissue biopsies as reference standard, sensitivity was 100% for NGS and 94% for ddPCR. Several possible osimertinib resistance associated mutations, including PIK3CA, BRAF and TP53 mutations, were detected by NGS in samples upon progression on osimertinib therapy. Conclusion: ddPCR assays for EGFR mutations appear to be as sensitive and highly concordant as amplicon‐based NGS. NGS has the ability to detect novel resistance mutations.
| Original language | English |
|---|---|
| Pages (from-to) | 1879-1884 |
| Number of pages | 6 |
| Journal | Thoracic Cancer |
| Volume | 10 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2019 |
Open Access - Access Right Statement
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. (https://creativecommons.org/licenses/by/4.0/).UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- cancer
- lungs
- patients
- polymerase chain reaction
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