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Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
Published on: August 11, 2017
Long noncoding RNA EGFR-AS1 mediates epidermal growth factor receptor addiction and modulates treatment response in
Daniel S W Tan1,2,3, Fui Teen Chong1, Hui Sun Leong1
1Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, Singapore.
Abstract:
Targeting EGFR is a validated approach in the treatment of squamous-cell cancers (SCCs), although there are no established biomarkers for predicting response. We have identified a synonymous mutation in EGFR, c.2361G>A (encoding p.Gln787Gln), in two patients with head and neck SCC (HNSCC) who were exceptional responders to gefitinib, and we showed in patient-derived cultures that the A/A genotype was associated with greater sensitivity to tyrosine kinase inhibitors (TKIs) as compared to the G/A and G/G genotypes. Remarkably, single-copy G>A nucleotide editing in isogenic models conferred a 70-fold increase in sensitivity due to decreased stability of the EGFR-AS1 long noncoding RNA (lncRNA). In the appropriate context, sensitivity could be recapitulated through EGFR-AS1 knockdown in vitro and in vivo, whereas overexpression was sufficient to induce resistance to TKIs. Reduced EGFR-AS1 levels shifted splicing toward EGFR isoform D, leading to ligand-mediated pathway activation. In co-clinical trials involving patients and patient-derived xenograft (PDX) models, tumor shrinkage was most pronounced in the context of the A/A genotype for EGFR-Q787Q, low expression of EGFR-AS1 and high expression of EGFR isoform D. Our study reveals how a 'silent' mutation influences the levels of a lncRNA, resulting in noncanonical EGFR addiction, and delineates a new predictive biomarker suite for response to EGFR TKIs.
Insights
A silent EGFR mutation (c.2361G>A) enhances sensitivity to tyrosine kinase inhibitors (TKIs) in head and neck squamous-cell cancers (HNSCC) by reducing EGFR-AS1 long noncoding RNA levels, identifying a new predictive biomarker suite.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Epidermal Growth Factor Receptor (EGFR) targeting is a key treatment for squamous-cell cancers (SCCs).
- Predictive biomarkers for EGFR-tyrosine kinase inhibitor (TKI) response in SCCs are lacking.
- A synonymous EGFR mutation (c.2361G>A, p.Gln787Gln) was observed in exceptional responders.
Purpose of the Study:
- To investigate the functional role of the synonymous EGFR c.2361G>A mutation.
- To identify biomarkers predicting response to EGFR TKIs in head and neck SCC (HNSCC).
- To elucidate the mechanism linking the mutation, long noncoding RNA, and TKI sensitivity.
Main Methods:
- Analysis of patient-derived cultures and isogenic models with different EGFR genotypes.
- Assessment of EGFR-AS1 long noncoding RNA (lncRNA) stability and expression.
- Evaluation of EGFR isoform D splicing and pathway activation.
- Co-clinical trials using patient-derived xenograft (PDX) models.
Main Results:
- The EGFR c.2361G>A mutation (A/A genotype) conferred significantly greater sensitivity to TKIs compared to G/A and G/G genotypes.
- The G>A nucleotide editing led to a 70-fold increase in TKI sensitivity by decreasing EGFR-AS1 lncRNA stability.
- EGFR-AS1 knockdown mimicked sensitivity, while overexpression induced resistance.
- Reduced EGFR-AS1 shifted splicing to EGFR isoform D, activating the EGFR pathway.
- Tumor shrinkage in co-clinical trials correlated with A/A genotype, low EGFR-AS1, and high EGFR isoform D expression.
Conclusions:
- The synonymous EGFR c.2361G>A mutation influences EGFR-AS1 lncRNA levels, leading to noncanonical EGFR pathway activation and TKI sensitivity.
- EGFR-AS1 lncRNA and EGFR isoform D expression serve as a novel predictive biomarker suite for EGFR TKI response in HNSCC.
- This discovery offers a new strategy for personalized treatment of squamous-cell cancers.
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