Ultra-sensitive EGFR T790M Detection as an Independent Prognostic Marker for Lung Cancer Patients Harboring EGFR del19 Mutations and Treated with First-generation TKIs

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Vendrell, Julie, A | Mazieres, Julien | Senal, Romain | Rouquette, Isabelle | Quantin, Xavier | Pujol, Jean-Louis | Roch, Benoit | Bouidioua, Abdelali | Godreuil, Sylvain | Coyaud, Etienne | Brousset, Pierre | Solassol, Jérôme

Edité par CCSD ; American Association for Cancer Research -

International audience. PURPOSE:The detection of preexisting EGFR T790M subclones and the assessment of their clinical significance in the pretreatment of patients with EGFR T790M non-small cell lung cancer (NSCLC) remain unclear.EXPERIMENTAL DESIGN:A total of 179 tumor samples from patients treated or not with a first-generation tyrosine kinase inhibitor (TKI) was analyzed. The presence of ultra-low levels of preexisting EGFRT790M mutation was evaluated using ultra-sensitive droplet digital PCR (ddPCR) and the clinical implication of these mutations on first-generation TKI efficiency assessed.RESULTS:With a ddPCR linear performance of 0.999 and an analytical sensitivity of approximately 0.001%, we observed a 66% (99/150) overall incidence of ultra-low EGFR T790M mutation. Among 82 patients harboring EGFR activating mutations, the presence of a preexisting EGFR T790M mutation prior to any treatment was significantly associated with a longer progression-free survival (PFS; P = 0.009; log-rank test). Interestingly, longer PFS was linked to concomitant EGFR del19 and ultra-low EGFR T790M mutations. Moreover, the presence of both EGFR del19 and ultra-low EGFR T790M mutations was identified as the best fit for predicting the clinical outcome of patients treated with TKI compared with an ultra-low EGFR T790M mutation status or an activating mutation alone (P = 0.042 and P = 0.0071, respectively).CONCLUSIONS:We demonstrate that the detection of the ultra-low EGFR T790M mutation in TKI-naïve patients is not a rare event. We suggest that ddPCR should be used in clinical practice to distinguish patients who may respond to first- or third-generation TKIs.

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