Abstract
Introduction: Approximately one-half of patients with epidermal growth factor receptor (EGFR) mutation-positive advanced/metastatic non-small-cell lung cancer (NSCLC) develop resistance to first- or second-generation EGFR tyrosine kinase inhibitors (TKIs) due to a secondary T790M mutation. This study investigated the pattern of T790M testing after EGFR TKI treatment in a real-world setting in Japan. Method: This prospective observational study enrolled patients with EGFR mutation-positive advanced/metastatic NSCLC who reported disease progression during treatment with first- or second-generation EGFR TKIs. Data regarding sampling methods for T790M mutation testing (plasma sample, cytology or tissue biopsy) and the treatment strategies after disease progression were recorded prospectively. Results: A total of 236 patients were included in the study (female, 67.4%; median age, 73.0 years), and 205 patients (86.9%) underwent rebiopsy by any of the three possible methods: plasma sampling in 137 patients (58.1%) and tissue/cytology sampling in 68 patients (28.8%) during the first rebiopsy. Overall, 80.6% of the tissue/cytology samples contained tumor cells, and 40% of these samples were positive for the T790M mutation. T790M mutations were detected in only 19.7% of plasma samples. Of the 199 patients who underwent T790M testing, 61 (30%) tested positive, and 56 (91.8%) subsequently received osimertinib. Conclusion: Among the 87% of Japanese patients who underwent rebiopsy after progressing on treatment with a first- or second-generation EGFR TKI, approximately 30% tested positive for the T790M mutation and were eligible to receive osimertinib. Although plasma sampling is non-invasive, this rebiopsy method is less sensitive for T790M detection compared with tissue or cytology sampling (UMIN identifier: UMIN000024928). Funding: AstraZeneca Japan.
| Original language | English |
|---|---|
| Pages (from-to) | 203-215 |
| Number of pages | 13 |
| Journal | Oncology and Therapy |
| Volume | 6 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 01-12-2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Oncology
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