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Updated: Apr 21, 2026

Establishment and Characterization of Three Afatinib-resistant Lung Adenocarcinoma PC-9 Cell Lines Developed with Increasing Doses of Afatinib
Published on: June 26, 2019
Afatinib resistance in non-small cell lung cancer involves the PI3K/AKT and MAPK/ERK signalling pathways and
Simona Coco1, Anna Truini, Angela Alama
1Lung Cancer Unit, IRCCS AOU San Martino-IST, L.go R. Benzi 10, 16132, Genoa, Italy, simona.coco@hsanmartino.it.
Abstract:
The epidermal growth factor receptor (EGFR) signalling is one of the most deregulated pathways in non-small cell lung cancer (NSCLC). Recently, the development of novel irreversible tyrosine kinase inhibitors (TKI), such as afatinib, has significantly improved the survival of advanced NSCLC patients harbouring activated EGFR mutations. However, treatment with TKI is not always curative due to the development of resistance. In the present study, we investigated the sensitivity to afatinib in two NSCLC EGFR mutated cell lines (NCI-H1650 and NCI-H1975) by expression profile analysis of 92 genes involved in the EGF pathway. Thereafter, the established afatinib resistant clones were evaluated at different biological levels: genomic, by array comparative genomic hybridisation (aCGH) and deep sequencing; transcriptomic, by quantitative polymerase chain reaction (qPCR) and proteomic, by Western blot and immunofluorescence. The baseline gene expression of the two cell lines revealed that NCI-H1650, the less afatinib-responsive cell, showed activation of two main EGFR downstream pathways such as PI3K/AKT and PLCγ/PKC axes. Analysis of the afatinib-resistant cells showed PI3K/AKT and MAPK/ERK pathways activation together with a biological switch from an epithelial-to-mesenchymal phenotype might confer afatinib-resistant properties to this cell line. Our data suggest that the activation of EGFR-dependent downstream pathways might be involved in the occurrence of resistance to afatinib assuming that the EGFR mutational status should not be exclusively considered when selecting TKI treatments. In particular, the epithelial-to-mesenchymal transition might provide a new basis for understanding afatinib resistance.
Insights
Afatinib resistance in non-small cell lung cancer (NSCLC) may stem from activated epidermal growth factor receptor (EGFR) downstream pathways, not just mutations. Epithelial-to-mesenchymal transition also contributes to afatinib resistance.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Epidermal growth factor receptor (EGFR) signaling is frequently dysregulated in non-small cell lung cancer (NSCLC).
- Irreversible tyrosine kinase inhibitors (TKIs) like afatinib improve survival in advanced NSCLC with EGFR mutations.
- Acquired resistance to TKIs remains a significant clinical challenge, limiting treatment efficacy.
Purpose of the Study:
- To investigate afatinib sensitivity in EGFR-mutated NSCLC cell lines.
- To analyze gene expression profiles and identify mechanisms of afatinib resistance.
- To explore the role of EGFR downstream pathways and epithelial-to-mesenchymal transition in resistance.
Main Methods:
- Expression profile analysis of 92 EGF pathway genes in NCI-H1650 and NCI-H1975 NSCLC cell lines.
- Genomic analysis using array comparative genomic hybridization (aCGH) and deep sequencing.
- Transcriptomic analysis via quantitative polymerase chain reaction (qPCR).
- Proteomic analysis using Western blot and immunofluorescence.
Main Results:
- NCI-H1650 cells, less responsive to afatinib, showed baseline activation of PI3K/AKT and PLCγ/PKC pathways.
- Afatinib-resistant cells exhibited activation of PI3K/AKT and MAPK/ERK pathways.
- A switch to an epithelial-to-mesenchymal phenotype was observed in resistant cells, potentially conferring resistance properties.
Conclusions:
- Activation of EGFR-dependent downstream pathways, including PI3K/AKT and MAPK/ERK, is implicated in afatinib resistance.
- Epithelial-to-mesenchymal transition may represent a novel mechanism underlying afatinib resistance in NSCLC.
- EGFR mutational status alone may be insufficient for selecting TKI treatments; downstream pathway activation should also be considered.
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