Added by |
pcoopman |
Group name |
EquipePC |
Item Type |
Journal Article |
Title |
Ultra-sensitive EGFRT790Mdetection as an independent prognostic marker for lung cancer patients harboring EGFRdel19mutations and treated with first-generation TKIs |
Creator |
Vendrell et al. |
Author |
Julie Vendrell |
Author |
Romain Senal |
Author |
Isabelle Rouquette |
Author |
Xavier Quantin |
Author |
Jean-Louis Pujol |
Author |
Abdelali Bouidioua |
Author |
Sylvain Godreuil |
Author |
Etienne Coyaud |
Author |
Pierre Brousset |
Abstract |
PURPOSE: The detection of pre-existing EGFRT790M subclones and the assessment of their clinical significance in the pretreatment of EGFRT790M non-small cell lung cancer (NSCLC) patients 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 pre-existing 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 EGFRT790M mutation. Among 82 patients harboring EGFRactivating mutations, the presence of a pre-existing EGFRT790M mutation prior to any treatment was significantly associated with a longer PFS (P = 0.009; Log-rank test). Interestingly, longer PFS was linked to concomitant EGFRdel19 and ultra-low EGFRT790M mutations. Moreover, the presence of both EGFRdel19 and ultra-low EGFRT790M mutations was identified as the best fit for predicting the clinical outcome of patients treated with TKI compared with an ultra-low EGFRT790M 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 EGFRT790M mutation in TKI-naive 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. |
Publication |
Clinical Cancer Research: An Official Journal of the American Association for Cancer Research |
Date |
Apr 01, 2019 |
Journal Abbr |
Clin. Cancer Res. |
Language |
eng |
DOI |
10.1158/1078-0432.CCR-18-2683 |
ISSN |
1078-0432 |
Library Catalog |
PubMed |
Extra |
PMID: 30936123 |
Tags |
clinic, first-last-corresponding |
Date Added |
2019/05/16 - 12:04:42 |
Date Modified |
2023/11/15 - 16:37:54 |
Notes and Attachments |
PubMed entry (Attachment) |