PubMed HealthSearch

PubMed · 39922174

Efficacy of amivantamab, a bi-specific antibody targeting EGFR and MET, in ALK-rearranged non-small-cell lung cancer cell lines.

Abstract

BACKGROUND: Anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) are highly effective in treating ALK-rearranged non-small-cell lung cancer (NSCLC). However, at least 40% of patients develop acquired resistance during treatment. Adaptive or acquired resistance to ALK TKIs could be mediated through epidermal growth factor receptor (EGFR) and mesenchymal-epithelial transition factor (MET) signaling. Sixteen percent of acquired resistance cases are linked to bypass signaling. METHODS: In this study, we evaluated the effects of amivantamab, a bi-specific antibody targeting both EGFR and MET, on ALK-rearranged NSCLC cells. We investigated the effect of amivantamab on the ALK-rearranged NSCLC cell lines H3122, ABC-19, and ABC-11. RESULTS: Combining alectinib with amivantamab resulted in greater inhibition of cell growth inhibition in H3122 and ABC-19 cells compared to alectinib alone, but not in ABC-11 cells. EGFR TKI erlotinib showed similar efficacy in H3122 and ABC-19 cells, whereas MET TKI tepotinib was ineffective in both, suggesting that the efficacy of amivantamab is through EGFR inhibition. Unlike H3122 and ABC-19 cells, ABC-11 cells were resistant to EGFR/MET signaling inhibition. Interestingly, amivantamab enhanced alectinib efficacy against ABC-11 cells in the presence of peripheral blood mononuclear cells (PBMCs), despite showing no effect alone without PBMCs, suggesting action through non-signal inhibitory mechanisms. Finally, we treated alectinib-resistant cellswith alectinib, with or without amivantamab, and found that amivantamab restored the sensitivity of these cells to alectinib. CONCLUSION: The bi-specific antibody amivantamab, which targets EGFR and MET, enhanced the efficacy of alectinib through both signal and non-signal inhibitory mechanisms in ALK-rearranged NSCLC cells.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Tatsuya Nishi, Ayako Morita, Naofumi Hara, Go Makimoto, Kiichiro Ninomiya, Masanori Fujii, Kammei Rai, Kadoaki Ohashi, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Eiki Ichihara. 2025-01-31. Efficacy of amivantamab, a bi-specific antibody targeting EGFR and MET, in ALK-rearranged non-small-cell lung cancer cell lines.. https://doi.org/10.1016/j.lungcan.2025.108415

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans