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Studying the Stoichiometry of Epidermal Growth Factor Receptor in Intact Cells using Correlative Microscopy
Published on: September 11, 2015
Concurrent Driver Gene Mutations as Negative Predictive Factors in Epidermal Growth Factor Receptor-Positive
Minjiang Chen1, Yan Xu1, Jing Zhao1
1Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Background:
Tyrosine kinase inhibitors (TKIs) are clinically effective in non-small cell lung cancer (NSCLC) patients harbouring epidermal growth factor receptor (EGFR) oncogene mutations. Genetic factors, other than EGFR sensitive mutations, that allow prognosis of TKI treatment remain undefined.
Methods:
We retrospectively screened 423 consecutive patients with advanced NSCLC and EGFR 19del or 21L858R mutations. A total of 71 patients whose progression-free survivals (PFS) were shorter than 6 months or longer than 24 months were included and stratified into separate groups. Genetic background discrepancy was analysed in the two groups using next generation sequencing (NGS).
Findings:
Sensitive EGFR mutations of 19del or 21L858R were detected by NGS in all patients; the 21L858R mutation was the major type. The most frequent accompanying somatic mutations were TP53, RB1, MAP2K. ALK fusion, MET amplification, and BRAF V600E were found only in the short PFS group. Concurrent pretreament T790 M mutation was found in both groups, but was proportionally higher in the short PFS group. In the short PFS group, patients had significantly more driver gene mutations than in long PFS group (P = 0·018). The numbers of concomitant somatic mutations, EGFR pathway-related mutations, and tumor mutation burden (TMB) were not significantly different between the two groups.
Interpretation:
Co-occuring driver gene mutations were negative predictive factors of TKI therapy in EGFR-mutated patients. This study highlights the importance of exploring co-occuring genomic alterations before initiation of EGFR-TKIs.
Insights
Co-occurring driver gene mutations negatively predict tyrosine kinase inhibitor (TKI) therapy effectiveness in non-small cell lung cancer (NSCLC) patients with EGFR mutations. Identifying these alterations before treatment is crucial for better outcomes.
Area of Science:
- Oncology
- Genetics
- Pharmacogenomics
Background:
- Tyrosine kinase inhibitors (TKIs) are effective for non-small cell lung cancer (NSCLC) with EGFR mutations.
- Predictive genetic factors beyond EGFR mutations for TKI response remain unclear.
Purpose of the Study:
- To investigate genetic factors influencing TKI treatment outcomes in EGFR-mutated NSCLC patients.
- To identify genomic alterations associated with differential progression-free survival (PFS) on TKI therapy.
Main Methods:
- Retrospective analysis of 71 advanced NSCLC patients with EGFR 19del or 21L858R mutations.
- Stratification into short (<6 months) and long (>24 months) PFS groups.
- Next-generation sequencing (NGS) to analyze genetic background discrepancies.
Main Results:
- EGFR 19del and 21L858R mutations were confirmed in all patients; 21L858R was predominant.
- TP53, RB1, and MAP2K mutations were frequent.
- ALK fusion, MET amplification, and BRAF V600E mutations were exclusive to the short PFS group.
- Higher prevalence of co-occurring driver gene mutations in the short PFS group (P=0.018).
Conclusions:
- Co-occurring driver gene mutations act as negative predictors for TKI therapy in EGFR-mutated NSCLC.
- Pre-treatment comprehensive genomic profiling is essential to identify potential resistance mechanisms.
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