c-MET Overexpression Drives AKT Activation, and Combined Inhibition Synergistically Enhances Therapeutic Sensitivity in Non-Small-Cell Lung Cancer

Aberrant activation of c-MET signaling contributes to tumor progression and resistance to therapy in non-small-cell lung cancer (NSCLC), yet its therapeutic significance remains incompletely understood. In this study, we evaluated c-MET expression and its association with AKT activation and clinical outcomes using a tissue microarray cohort and publicly available datasets. c-MET overexpression was significantly associated with increased p-AKT expression and showed a trend toward poorer overall survival in the tissue microarray cohort, while analysis of the TCGA LUAD dataset confirmed a significant association with reduced survival (log-rank p = 0.0223; HR = 1.234, 95% CI: 1.029–1.480). Functional studies demonstrated that pharmacological inhibition of c-MET suppressed cell proliferation and induced caspase-dependent mitochondrial apoptosis in NSCLC cell lines. Mechanistically, c-MET inhibition resulted in AKT inactivation, identifying AKT as a key downstream mediator of c-MET signaling. Notably, combined inhibition of c-MET (PHA665752) and AKT (MK2206) exhibited strong synergistic effects, significantly enhancing apoptosis and reducing cell viability compared to single-agent treatments. These findings were further validated in vivo, where combination therapy markedly delayed tumor growth without significant toxicity. Collectively, our results highlight c-MET-driven AKT activation as a key oncogenic mechanism and support dual c-MET/AKT targeting as a promising therapeutic strategy for NSCLC.

Authors

Institutions

Publication Details

Journal
Cells
Published
2026-06-25
DOI
https://doi.org/10.3390/cells15131155
Primary Topic
Liver physiology and pathology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

c-MET Overexpression Drives AKT Activation, and Combined Inhibition Synergistically Enhances Therapeutic Sensitivity in Non-Small-Cell Lung Cancer

Rafia Begum, Saravanan Thangavel, Poyil Pratheeshkumar, Abdul K. Siraj et al.
Cells
Liver physiology and pathology
article

c-MET Overexpression Drives AKT Activation, and Combined Inhibition Synergistically Enhances Therapeutic Sensitivity in Non-Small-Cell Lung Cancer

Rafia Begum, Saravanan Thangavel, Poyil Pratheeshkumar, Abdul K. Siraj, Khadija Al-Obaisi
article en

Abstract

Aberrant activation of c-MET signaling contributes to tumor progression and resistance to therapy in non-small-cell lung cancer (NSCLC), yet its therapeutic significance remains incompletely understood. In this study, we evaluated c-MET expression and its association with AKT activation and clinical outcomes using a tissue microarray cohort and publicly available datasets. c-MET overexpression was significantly associated with increased p-AKT expression and showed a trend toward poorer overall survival in the tissue microarray cohort, while analysis of the TCGA LUAD dataset confirmed a significant association with reduced survival (log-rank p = 0.0223; HR = 1.234, 95% CI: 1.029–1.480). Functional studies demonstrated that pharmacological inhibition of c-MET suppressed cell proliferation and induced caspase-dependent mitochondrial apoptosis in NSCLC cell lines. Mechanistically, c-MET inhibition resulted in AKT inactivation, identifying AKT as a key downstream mediator of c-MET signaling. Notably, combined inhibition of c-MET (PHA665752) and AKT (MK2206) exhibited strong synergistic effects, significantly enhancing apoptosis and reducing cell viability compared to single-agent treatments. These findings were further validated in vivo, where combination therapy markedly delayed tumor growth without significant toxicity. Collectively, our results highlight c-MET-driven AKT activation as a key oncogenic mechanism and support dual c-MET/AKT targeting as a promising therapeutic strategy for NSCLC.

CellsVol. 15(13)
King Faisal Specialist Hospital & Research Centre (SA)
No poverty
Openalex Percentile: Top 8%
Liver physiology and pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.