Omics · study · 2026
Synergistic antitumor effects of combination therapy with MET TKI vabametkib and a third-generation EGFR TKI lazertinib in MET-amplified EGFR-mutant NSCLC
Listed in NCBI GEO
Third-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKIs) improved outcomes in EGFR-mutant non-small cell lung cancer (NSCLC); however, the subsequent development of resistance emphasizes the necessity of overcoming this therapeutic limitation.
Description
MET amplification is one of the major resistance mechanism in EGFR-mutant NSCLC, bypassing EGFR inhibition by activating cell survival, proliferation, and metastasis.
Combinining MET- and EGFR-TKIs is thus emerging as a promising therapeutic strategy to overcome resistance to EGFR TKIs. This study aimed to investigate the combination of the selective MET TKI vabametkib and a third-generation EGFR TKI lazertinib in MET amplified EGFR TKI resistance models. Signal inhibition and cytotoxicity of vabametkib plus lazertinib were evaluated in osimertinib-resistance NSCLC cell lines (HCC827-AR) and patient-derived organoid (YUO-010) by western blot and Cell Titer-Glo assay.
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The in vivo efficacy was evaluated using two patient-derived xenograft (PDX) models (YHIM-1035(1) and YHIM-1053), characterized for MET amplification by whole-exome sequencing or droplet digital polymerase chain reaction (ddPCR). In vitro studies demonstrated that vabametkib plus lazertinib potently inhibited EGFR/MET phosphorylation at the nanomolar level, leading to the suppression of PI3K/AKT and MAPK signaling pathways and subsequent down-regulation.
Consistently, in vivo studies revealed that vabametkib plus lazertinib significantly suppressed the growth of MET-dependent xenograft tumors, while in certain models, monotherapy also exhibited strong antitumor effects. These findings suggest that the combination of the MET TKI vabametkib and the third-generation EGFR TKI lazertinib represent a promising therapeutic strategy to overcome acquired EGFR TKI resistance in patients with MET-amplified NSCLC, potentially guiding future clinical applications.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE307nnn/GSE307503 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE307503 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1321885 ncbi.nlm.nih.gov/bioproject/PRJNA1321885 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE307503 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |