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Review

Targeting Mesenchymal-Epidermal Transition (MET) Aberrations in Non-Small Cell Lung Cancer: Current Challenges and Therapeutic Advances

1
Center for Clinical Laboratories, Hospital Affiliated to Guizhou Medical University, Guiyang 550004, China
2
Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
*
Author to whom correspondence should be addressed.
Cancers 2026, 18(2), 207; https://doi.org/10.3390/cancers18020207
Submission received: 27 November 2025 / Revised: 29 December 2025 / Accepted: 4 January 2026 / Published: 8 January 2026

Simple Summary

Non-small cell lung cancer (NSCLC) represents the most prevalent form of lung cancer. Abnormal activation of mesenchymal transition (MET) proto-oncogenes serves as a key oncogenic driver in NSCLC and is correlated with poor clinical outcomes. The activation of the MET pathway is not only a carcinogenic factor for NSCLC but also a highly potential therapeutic target. Such abnormal MET activation may occur through MET gene mutations, MET gene amplification or transcriptional upregulation without amplification. Although MET tyrosine kinase inhibitors (TKIs) are currently the most widely employed class of MET-targeted agents, their clinical benefits remain limited and insufficient to fully meet clinical needs. In recent years, monoclonal antibodies directed against specific MET epitopes have demonstrated encouraging clinical efficacy in various trials. Furthermore, combination therapeutic strategies—especially with EGFR inhibitors—have demonstrated greater clinical potential compared to monotherapy by overcoming drug resistance and enhancing efficacy. Ongoing research in this field is essential to fully integrate MET-targeted therapies into routine clinical practice and expand treatment options for patients with NSCLC. This review comprehensively summarizes the structure and physiological functions of the MET receptor, the molecular mechanisms underlying aberrant MET activation, its role in acquired resistance to targeted therapies, and emerging strategies for effectively targeting MET alterations in NSCLC.

Abstract

The mesenchymal–epithelial transition (MET) receptor is a tyrosine kinase activated by its sole known ligand, hepatocyte growth factor (HGF). MET signaling regulates key cellular processes, including proliferation, survival, migration, motility, and angiogenesis. Dysregulation and hyperactivation of this pathway are implicated in multiple malignancies, including lung, breast, colorectal, and gastrointestinal cancers. In non–small cell lung cancer (NSCLC), aberrant activation of the MET proto-oncogene contributes to 1% of known oncogenic drivers and is associated with poor clinical outcomes. Several mechanisms can induce MET hyperactivation, including MET gene amplification, transcriptional upregulation of MET or HGF, MET fusion genes, and MET exon 14 skipping mutations. Furthermore, MET pathway activation represents a frequent mechanism of acquired resistance to EGFR- and ALK-targeted tyrosine kinase inhibitors (TKIs) in EGFR- and ALK-driven NSCLCs. Although MET has long been recognized as a promising therapeutic target in NSCLC, the clinical efficacy of MET-targeted therapies has historically lagged behind that of EGFR and ALK inhibitors. Encouragingly, several MET TKIs such as capmatinib, tepotinib, and savolitinib have been approved for the treatment of MET exon 14 skipping mutations. They have also demonstrated potential in overcoming MET-driven resistance to EGFR TKIs or ALK TKIs. On 14 May 2025, the U.S. Food and Drug Administration granted accelerated approval to telisotuzumab vedotin-tllv for adult patients with locally advanced or metastatic non-squamous NSCLC whose tumors exhibit high c-Met protein overexpression and who have already received prior systemic therapy. In this review, we summarize the structure and physiological role of the MET receptor, the molecular mechanisms underlying aberrant MET activation, its contribution to acquired resistance against targeted therapies, and emerging strategies for effectively targeting MET alterations in NSCLC.

1. Introduction

The mesenchymal-epidermal transition factor receptor (MET), also known as hepatocyte growth factor receptor (HGFR), was originally identified as the protein product of a transforming gene in a chemically transformed osteosarcoma cell line [1]. In 1991, MET was discovered to be the receptor for hepatocyte growth factor (HGF), also called scatter factor (SF), a protein previously shown to promote hepatocyte growth in culture [2]. In the following decade, MET was found to be a potent oncogene with intracellular tyrosine kinase activity in multiple cancer types, including non-small cell lung cancer (NSCLC). In some NSCLCs, the MET pathway is thought to be the primary driving mechanism and sometimes acts as a cellular proto-oncogene. Although MET has been recognized as a promising therapeutic target, MET-targeted drug therapies have thus far achieved only limited success.
Figure 1 summarizes the timeline of MET research and the major development milestones of MET-targeted drug therapies in lung cancer. In this review, we summarize the current knowledge on the pathogenesis of MET alterations, methods to detect MET alterations, rationale and therapeutic strategies for targeting MET alterations in patients with advanced NSCLC. Figure 2 reviews milestones of treatment and clinical trial for MET alterations in lung cancers.

2. Structure and Normal Function of HGF/MET

Normal MET signaling is active during embryonic development, where it plays roles in gastrulation, angiogenesis, mesenchymal cell migration, bone and muscle formation, and organogenesis [69]. In adults, MET signaling is restricted to functions in wound repair, organ regeneration, and hematopoietic cell differentiation [70]. MET is normally expressed by cells of epithelial-endothelial origin, while its ligand HGF is secreted by mesenchymal cells [71]. The MET gene, located on chromosome 7q21-31, has a length of 110 kb and includes 21 exons. It encodes a transmembrane receptor belonging to the RTK superfamily and the HGF receptor family.
The MET receptor is assembled from an α-subunit and a β-subunit derived from the cleavage of a single-chain precursor; in the mature receptor, the extracellular α-subunit is linked to the transmembrane β-subunit by a disulfide bond. The extracellular portion of MET, responsible for binding HGF, is composed of a semaphorin homology (SEMA) domain, a cysteine-rich plexin-semaphorin-integrins (PSI) domain, and four immunoglobulins-plexins-transcription factors (IPT) repeats of immunoglobulin (Ig)-like modules [72,73]. The intracellular portion of MET is composed of a juxtamembrane (JM) domain, a tyrosine kinase (TK) domain, and a C-terminal region with a multifunctional docking site, which are collectively responsible for signal transduction and biological responses [74]. The juxtamembrane domain plays a role in the negative regulation of MET activity and receptor degradation, while the tyrosine kinase domain contains the ATP-binding site and is responsible for receptor autophosphorylation [10]. A multifunctional docking site in the C-terminal region interacts with multiple substrates, including growth factor receptor-bound protein 2 (Grb2), Grb2-associated binder (GAB1) Src homology 2 domain containing (SHC), and Steroid receptor coactivator 2(Scr2), allowing for phosphorylation of signal transducers in downstream pathways [72,75] (Figure 3).
MET is activated when its ligand HGF binds to the MET receptor, inducing homodimerization and phosphorylation of intracellular tyrosine residues [81]. Also known as scatter factor (SF), HGF is primarily secreted by cancer-associated fibroblasts (CAFs) and represents the only known mammalian agonistic natural ligand with high affinity for MET. As the core stromal cells of the tumor microenvironment, CAFs can be activated by cytokines (e.g., TGF-β and IL-6) secreted by tumor cells with KRas mutations. Once activated, CAFs secrete substantial amounts of HGF, which subsequently binds to MET on the tumor cell surface via paracrine signaling to activate the MET pathway. HGF is initially secreted as an inactive single-chain precursor, converted by proteases into a biologically active mature heterodimer composed of an α-chain and a β-chain. Upon binding to HGF, the MET receptor undergoes autophosphorylation of the Y1234 and Y1235 tyrosine residues in the kinase domain. Subsequently, tyrosine residues in the docking site (Y1349 and Y1356) become phosphorylated, allowing for downstream signaling through pathways variously involved in cellular proliferation, survival, migration, motility, invasion, angiogenesis, and the epithelial-to-mesenchymal transition. Downstream pathways activated by MET signaling include the phosphoinositide 3-kinase/Akt pathway (PI3K/AKT), signal transducer and activator of transcription 3 (STAT3), the Wnt/β-catenin pathway, and the Erk/mitogen-activated protein kinase cascade (ERK/MAPK) [76,82].
HGF/MET axis-activated drug resistance is dependent on the synergistic interplay of the tumor microenvironment and often overlaps with immunosuppressive states to exacerbate treatment resistance. Studies have shown that in the co-culture model of KRas G12C-mutated lung cancer cell lines (H358, A549) and CAFs, the HGF secreted by CAFs can markedly attenuated the antitumor efficacy of sotorasib, while the combined use of camatinib can effectively block the HGF/MET axis and restore the sensitivity of tumor cells to sotoracib [83]. Furthermore, targeted inhibition of upstream signaling pathways (such as the TGF-β pathway) regulating HGF secretion in CAFs significantly reduced the HGF level in the microenvironment and enhanced the efficacy of KRas inhibitors [84]. These findings highlight that a synergistic therapeutic strategy co-targeting stromal cells and tumor cells holds translational potential for the management of NSCLC.

3. Pathogenesis of Aberrant MET Alterations in Lung Cancer

In lung cancer, especially NSCLC, dysregulation of MET signaling has been widely implicated as an oncogenic driver [85]. Hyperactivated MET signaling to multiple downstream pathways is thought to be responsible for a range of tumorigenic cell behaviors. Anti-apoptotic and pro-survival signaling through the PI3K/AKT pathway allows for normal cell death evasion, while signaling through the ERK/MAPK pathway enhances cell motility, proliferation, and growth, contributing to metastasis and sustained tumor growth [86]. Increased amounts of HGF in the tumor microenvironment can contribute to high levels of ligand-dependent MET signaling [87]. However, HGF is not necessarily required for aberrant MET activation, as a state of MET overexpression is sufficient to enable ligand-independent activation by oligomerization of receptors [88]. Aberrant activation of MET can also occur through mutations in the MET gene, MET gene amplification, or transcriptional upregulation of MET without amplification. In NSCLC, all three of these mechanisms have been observed and recognized as crucial drivers [7,89].
Many reported oncogenic MET mutations share a common feature is the loss of exon 14 in the mRNA transcript due to aberrant pre-mRNA splicing [90]. These MET exon 14 skipping mutations were first reported in NSCLC in 2006, and are now known to occur in 2–4% of lung adenocarcinomas [77]. MET exon 14 skipping results in the deletion of the MET juxtamembrane domain containing the binding site for Cbl, an E3 ubiquitin ligase that promotes MET protein degradation. Loss of the binding site therefore results in decreased ubiquitination and degradation of the MET receptor [6,91]. In the absence of normal degradation, the resultant high-level MET expression the cell surface and sustained downstream signaling is thought to contribute to oncogenesis [7]. One analysis of tumor genomic profiles from 38,028 patients identified 221 cases with METex14 mutations (0.6%), with a total of 126 distinct sequence variants. METex14 mutations are detected most frequently in lung adenocarcinoma (3%) but are also frequently seen in other lung neoplasms (2.3%), brain glioma (0.4%), and tumors of unknown primary origin (0.4%) [90]. In a series of 687 Asian patients with resected NSCLC, a METex14 alteration was shown to be a prognostic factor for poor overall survival (OS) [16]. METex14 mutations occur in 3–4% of newly diagnosed advanced NSCLC cases [92] and is a recognized oncogenic driver [93,94]. Multiple studies have shown that patients with METex14 mutations are characterized by strong invasiveness, poor prognosis, and a poor response to immunotherapy, with limited effectiveness of traditional treatment methods [95,96]. The emergence of highly selective MET inhibitors has broken this deadlock. Although the treatment of METex14 mutant metastatic NSCLC varies due to differences in drug approval and clinical experience, the first-line MET TKI, such as cannot only prolong PFS but also improve the prognosis of PD-L1 < 50% and brain/bone metastases (Table 1) [97].
Gains in MET gene copy number (GCN) can cause cells to overexpress wild-type MET protein, which in turn allows for ligand-independent activation of the receptor. MET GCN gains arise from two distinct processes: polysomy and amplification [98]. High polysomy occurs when there are multiple copies of chromosome 7 in tumor cells and is secondary to factors such as chromosomal duplication [99]. In contrast, a true amplification occurs in the setting of regional gene duplication through processes indicated as breakage-fusion-bridge mechanisms [100]. In contrast to polysomy, amplification is thought to represent a state of true biological selection for MET activation as an oncogenic driver [77]. Notably, EGFR (epidermal growth factor), another proto-oncogene commonly dysregulated in NSCLC, is co-located with MET on chromosome 7. In all types of MET GCN change, copy number represents a continuous variable. An analysis of OS based on MET FISH status-derived GCN revealed that increased GCN is an independent adverse prognostic factor in surgically resected NSCLC, with an OS of 25.8 months for patients with MET ≥ 5 copies/cell, compared with 47.5 months for patients with MET < 5 copies/cell (p = 0.0045). These data support further investigation of MET-targeted therapeutic strategies in appropriately selected patients [101]. Determination of an optimal cutoff point for MET GCN positivity may dramatically alter its reported frequency and ultimately affect its potential to act as a predictive biomarker for benefit from MET inhibition. Primary MET amplification affects 2–5% of NSCLCs. However, MET amplification is relatively common in NSCLCs that have acquired resistance to EGFR TKIs) and appears in as many as 20% of such cases [8].
MET protein overexpression commonly occurs without gene amplification and can arise from modulation of diverse regulatory mechanisms. Transcriptional upregulation of the MET gene can derive from epigenetic changes in the MET locus or its regulatory genes, positive regulation by some paired box (PAX) family transcription factors (PAX3, PAX5, and PAX8), and inactivation of negative regulators such as PTEN or P53 [102,103]. Disruption of post-transcriptional regulators, ranging from inhibitory miRNAs to proteins involved in MET internalization and degradation, may also promote overexpression of the MET protein [102]. MET protein overexpression, which occurs in about 30% of NSCLCs, was previously proposed as a predictive biomarker for identifying patients likely to respond to MET-targeted therapies [91]. However, its prognostic utility has come into question after multiple clinical trials have shown that MET-targeted therapies do not produce significant clinical benefits in NSCLC patients selected based on MET overexpression. In the ATTENTION (n = 307) and MET Lung (n = 499) phase III clinical trials, the MET inhibitor tivantinib, and anti-MET antibody onartuzumab, respectively, failed to achieve their primary endpoints of overall survival, despite the promising efficacy of these drugs in earlier phases of development. Both trials were selected based on positive MET IHC staining [104,105]. These failures suggest that MET IHC expression is not a good predictive biomarker for selecting patients for MET-targeted drug therapy.
In some NSCLCs, oncogenesis may be driven by synergistic cross-talk between the MET pathway and other pro-oncogenic RTK pathways, namely EGFR and anaplastic lymphoma kinase (ALK) [106]. The concurrent signaling of MET with EGFR or ALK fusion protein potentiates activation of shared downstream components, most notably the oncogenic PI3K/Akt and ERK/MAPK pathways (Figure 4). Studies of EGFR-MET interactions in NSCLC have also suggested that EGFR signaling stabilizes MET and promotes ligand-independent MET activation [107].

4. MET Biomarker Detection

Table 2 summarizes the current methods for detecting MET alterations, which include fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), real-time polymerase chain reaction (RT-PCR) and next-generation sequencing (NGS) [92]. Tumors are defined as MET FISH-positive if at least 15% of cells show a split signal; a second confirmatory test is required if the positive signal is between 10% and 15% [108,109]. To distinguish between GCN gains caused by chromosomal polysomy and those caused by gene amplification, MET amplification has also been classified by using the MET/CEP7 ratio as low (≥1.8 to ≤2.2), intermediate (>2.2 to <5), and high (≥5). Variation in classification thresholds between studies complicates comparisons of reported MET amplification or GCN gain relative to the underlying frequency, associated factors, and outcomes from therapy, although more rigorous data are now emerging [110].
The most widely used tool to assess the prevalence of MET protein expression in lung cancer patients has been IHC performed on formalin-fixed paraffin-embedded (FFPE) samples. MET IHC positivity requires the presence of strong granular cytoplasmic staining (3+) [120]. IHC staining for only phosphorylated MET receptors has also been proposed as a more direct evaluation of levels of receptor activation, and may be a better indicator of overall MET signaling activity [121]. It is currently widely believed that the H-score combining staining intensity and proportion is superior to the binary (positive/negative) score. Multiple studies have shown that an h score of ≥150 indicates a better response to MET inhibitors in NSCLC. However, further study will be needed to validate its diagnostic utility, especially due to the transient nature of protein phosphorylation, which may be lost during the tissue-fixing process [122]. To date, IHC reagents, procedures, and scoring methods for HGF and MET assessment have not been extensively validated, monoclonal antibodies with varying sensitivities and specificities have been used, and several different scoring systems have been investigated with a generally retrospective approach. This is reflected in the high degree of variability in the prevalence of overexpression in unselected NSCLC series, ranging from 20% to 70% for both markers [123].
NGS has been proven superior to both FISH and IHC for the sensitive detection of MET alterations, especially for rare mutant variants such as MET fusion genes. NGS detection is of great significance for targeted therapy of NSCLC. Jeffrey A Scott et al. found that patients with NSCLC who received targeted therapy after NGS had a superior survival rate, and that patients who switched therapy after NGS exhibited a superior survival rate compared to those who did not [124]. For NSCLC patients who acquire resistance to ALK or EGFR inhibitors, NGS assessment of the molecular mechanism of resistance should inform the individualized treatment strategy and selection of an appropriate subsequent treatment. FISH is the gold standard for MET amplification detection and is highly consistent with the accuracy of NGS analysis [125]. When NGS detection fails, FISH can be used as a supplementary verification method.
In cases where tumor tissue is insufficient for molecular testing, plasma circulating tumor DNA (ctDNA) from liquid biopsy is increasingly used as an alternative at initial diagnosis and treatment resistance [126]. Among liquid biopsy-based detection techniques, digital PCR (dPCR) is particularly suited for the precise quantitative monitoring of low-abundance MET molecular alterations. Su et al. demonstrated that plasma droplet digital PCR (ddPCR) exhibited substantial concordance with FISH [127].
Clinical evidence has shown that MET abnormalities often coexist with alterations in pathways such as EGFR, KRAS, ALK, and TP53; patients harboring such co-mutations typically show a lower response rate to single-agent targeted therapy. For instance, Xue Yang et al. utilized NGS to identify EGFR-NTRK dual mutations and MET amplification in a 58-year-old male patient diagnosed with bone-metastatic NSCLC. Subsequent treatment with a triple-inhibition regimen targeting EGFR, NTRK, and MET resulted in partial response (PR) and favorable tolerability [128]. This case highlights the critical role of NGS-guided precision medicine in managing patients with multiple concurrent mutations.
Currently, clinical trials employ different methods to detect MET alterations. There exists a need to establish a cross-verification process for results from different testing platforms to address the issue of false positives/false negatives in single-platform testing and standardize and optimize the detection and interpretation of the results for these MET biomarker assays to guide the clinical decisions.

5. Strategies to Target Aberrant MET by Mono- and Combinational Therapy

Patient selection. Despite the evident role of MET as an oncogenic driver, targeted therapies inhibiting the MET pathway have been met with limited success. Notably, multiple MET-inhibitory agents have recently failed phase III trials either for increasing chances of death (rilotumumab) or failing to meet their primary endpoints of OS (tivantinib and onartuzumab) [129,130]. Given the clinical benefits of tivantinib and onartuzumab for some patients in prior studies, the failure of these agents in phase III may be attributable to the inadequacy of the patient selection criteria [131]. In both trials, patient selection was based on the presence of MET overexpression indicated by positive MET IHC. MET overexpression increasingly appears to hold little predictive value for positive response to MET-targeted therapy, and a number of studies now suggest that MET overexpression does not necessarily imply a commensurate increase in receptor activation [110]. Indeed, in many MET-overexpressing and MET-amplified cancers, oncogenic drivers other than MET are present and may act as the primary driver [109]. Accordingly, a major focus of research efforts is the identification of better diagnostic biomarkers for cancers that are in fact MET-driven, and therefore likely to respond to MET inhibitors. In NSCLC, high MET amplification (MET/CEP7 ≥ 5), but not low or intermediate amplification, is associated with response to the MET TKI crizotinib [132]. MET exon 14 skipping mutations in NSCLC also predict modest to strong responses to the MET TKIs crizotinib, tepotinib, and capmatinib [90,133]. Currently, only crizotinib is recommended by the NCCN for high-level MET amplification or MET exon 14 skipping mutations [134].
MET inhibitors. As illustrated in Figure 4, three strategies have been devised to inhibit the HGF/-MET signaling pathway: anti-HGF monoclonal antibodies, anti-MET monoclonal antibodies, and small molecule MET TKIs. Monoclonal antibody therapy is divided into anti-MET antibodies (e.g., onartuzumab, emibetuzumab, and SAIT301) and anti-HGF antibodies (e.g., ficlatuzumab and rilotumumab) [82,135]. Anti-MET and anti-HGF antibodies bind to their respective targets to occlude the binding of MET to HGF, and consequently, the majority of these antibodies inhibit only ligand-dependent MET signaling. However, some anti-MET antibodies, such as emibetuzumab and SAIT301, have also been shown to promote internalization and degradation of MET, and thus inhibit both ligand-independent and ligand-dependent HGF/MET signaling [78]. In phase II trials, onartuzumab plus erlotinib was associated with improved PFS and OS in an MET-positive population of NSCLC patients [131].
Figure 4. MET and RTKs share the common downstream signaling pathway in NSCLC [62,136,137,138].
Figure 4. MET and RTKs share the common downstream signaling pathway in NSCLC [62,136,137,138].
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The binding of ligands HGF/EGF to their corresponding receptors, EGFR/c-Met, leads to phosphorylation of specific tyrosine residues and activation of these receptors. Overexpression of EGFR and c-Met RTKs, and ALK and ROS1 derived fusion result in activation of downstream signaling pathways, PI3K/Akt and MAPK (RAS-RAF-MEK-ERK/MAPK; JAK-STATs, etc.), in lung cancer. The induction of these signaling cascades results in the stimulation of cancer cell survival through dysregulation of cell death pathways. Several inhibitors are in clinical trials that inhibit these pathways, by binding to tyrosine kinase domains or to ligands, resulting in receptor inactivation. TKIs and MAbs of the EGFR/Met/ALK and ROS signaling pathways are shown in gray boxes, with their targets marked by inhibitory arrows.
Small molecule MET TKIs can be subdivided into multikinase and selective MET inhibitors. Examples of multikinase MET inhibitors are crizotinib, which also inhibits ALK and ROS1, and cabozantinib, which also inhibits VEGFR2 and RET. Selective MET inhibitors include capmatinib, savolitinib, and tivantinib. In some cases, multikinase inhibitory activity may be desirable if more than one of the kinase targets shows signs of oncogenic activation, although a similar effect may be achieved by a combination of specific inhibitors [139]. Theoretically, multikinase inhibitors could also reduce the incidence of certain types of resistance by inhibiting potential bypass pathways. More selective inhibitors, however, typically produce less off-target toxicity [139]. The advantages and drawbacks of each category are not yet well understood.
While all small molecule MET TKIs inhibit the enzymatic activity of the MET tyrosine kinase, they differ in how they bind to the tyrosine kinase domain. ATP-competitive MET inhibitors, which can be classified by binding mode as type I or type II, bind at the kinase hinge region and occupy the ATP binding site. Type I inhibitors bind to the active form of the kinase and may be relatively selective (type Ib) or non-selective (type Ia), while type II inhibitors bind to the inactive form of the kinase and often possess some multikinase activity. The distinct binding regions targeted by each binding mode may partially account for the differential effectiveness of type I and II MET inhibitors against specific resistance mutations affecting residues near the active site [140]. The ATP non-competitive MET inhibitor tivantinib is fairly distinct from the other agents and is notable for its highly selective allosteric inhibition of the MET kinase [140] (Table 3).
In current clinical practice, MET inhibitors are predominantly used as salvage therapy after the progression of TKIs treatment. However, an increasing evidence suggests that early combination with MET inhibitors is more likely to prevent drug resistance and prolong the benefits for patients. Early combination therapy can block the potential activation of the MET pathway prior to the emergence of resistant clones, thereby averting the onset of treatment resistance. Additionally, in the early disease stage, tumor burden is relatively low, and the TIME has not yet fully deteriorated. consequently, combination therapy is more prone to exerting synergistic effects and significantly prolonging the duration of treatment response. Notably, early combination therapy is not applicable to all patients with TKIs-driven tumors. It is necessary to precisely screen the beneficiary population to balance efficacy and safety. The multi-platform combined detection using NGS, IHC and liquid biopsy facilitates the identification of biomarkers predictive (such as MET amplification of GCN, the threshold of H-score, the cutoff value of HGF concentration, etc.) of response to early combination therapy.
MET amplification. Several MET inhibitors have been investigated for NSCLC patients with MET amplification. Crizotinib is a type I ATP-competitive TKI originally developed to target MET and has since been found to also inhibit ALK and ROS1. In at least one case, a NSCLC patient with MET amplification but no ALK fusion gene achieved rapid and sustained remission with the administration of crizotinib, indicating that Crizotinib may be clinically useful as an MET inhibitor [141]. A 2014 study reported on the efficacy and safety of crizotinib in advanced MET-amplified NSCLC. FISH was used to determine the MET amplification status of enrolled patients, who were then divided into three groups according to the MET/CEP7 ratio: low (≥1.8 to ≤2.2), medium (>2.2 to <5), and high (≥5). 13 patients met MET/CEP7 criteria to receive crizotinib, 12 patients were evaluable for response. This study is part of an ongoing phase I study of crizotinib (NCT00585195) [142].
Capmatinib is a type I ATP-competitive TKI and selective to MET. In clinical trial NCT01610336, a combination of capmatinib with gefitinib, an EGFR TKI, showed encouraging clinical activity in EGFR TKI-resistant NSCLC patients particularly in patients with high MET GCN. Partial responses were seen in 12/65 evaluable patients (ORR 18%), and 40/65 (62%) patients had stable disease (SD); 10/53 patients with IHC 3+ or IHC 2+ and GCN ≥ 5 had PRs (ORR 19%), and 7/23 patients with GCN ≥ 6 had PRs (ORR 30%) [143].
MET exon 14 skipping mutations. In the ongoing PROFILE 1001 subgroup study evaluating crizotinib monotherapy in 69 advanced NSCLC patients with MET exon 14 alterations, modest clinical activity was observed: the ORR was 32% (95% CI: 21, 45) in 65 response-evaluable patients, the median duration of response was 9.1 months, and median time to response was 7.6 weeks (range: 3.7–16.3).28 PFS and OS data were not mature by the data cutoff date in June 2018, at which time 35% of patients had died, and 40.6% were still in follow-up. Median PFS is estimated at 7.3 (95% CI: 5.4, 9.1) months, and median OS is estimated at 20.5 (14.3–21.8) months. No new safety concerns were observed. Based on these data, the US FDA granted breakthrough designation to crizotinib as a second-line treatment for NSCLC patients with MET exon 14 skipping mutations earlier this year. Crizotinib has demonstrated significant efficacy in improving survival outcomes among patients with MET exon 14 skipping mutations, serving as a pivotal therapeutic option. Furthermore, its clinical success has accelerated the development and translation of next-generation MET inhibitors with enhanced potency and selectivity.
Several other MET inhibitors in clinical trials have shown activity against METex14 mutations. In the opening phase II trial (VISION) in advanced NSCLC patients with METexon14 skipping alterations, tepotinib had an ORR of 51.4% (95% CI, 45.8, 57.1) and median DOR of 18.0 months (95% CI, 12.4, 46.4) in 313 patients by an independent review committee at data cutoff in November 2022 [96]. Perhaps the most encouraging development was presented in 2024: in the final results of 160 patients (60 were newly diagnosed with the disease, and 100 had already received one or two therapies) with advanced NSCLC harboring MET exon 14–skipping mutations in the phase II GEOMETRY mono-1 trial, capmatinib (INC280) had the ORR of 68% in treatment-naive patients, which was one of the highest overall response rates reported thus far with MET tyrosine kinase inhibitors. And it had the ORR of 41% in the second-line or third-line setting and 52% in the second-line setting. These data further support that patients with MET exon 14–skipping mutations might respond better to capmatinib [144].
MET fusions gene. MET fusion is a rare genomic event, advances in detection technologies helps enable identification of various MET fusion partner genes. At present, The standard treatment regimen for MET fusion in NSCLC remains unclear, but distinguishing MET fusion partners is crucial for subsequent treatment. Sun et al. and Ganlu Ouyang et al. reported crizotinib/savolitinib treatment could cause partial response EML4-MET fusion [38,39]. A case report of patients with CD47-MET fusion NSCLC also demonstrated that crizotinib was an effective treatment for patients with this condition [40]. A report on a case of NSCLC with EGFR G719D/L861Q mutation and CUX1-MET fusion revealed that MET fusion may constitute a key mechanism underlying acquired resistance to targeted therapy in patients with rare EGFR mutations [145]. Zhuo et al. found that the most frequent breakpoint within the MET fusion genes are located in intron 14, while exons 15–21 are preserved [146]. The mechanism by which these exons cross the entire kinase region to cause EML4-MET fusion mutations may be similar to the MET exon 14 skipping, so the treatment of MET exon 14 skipping may also be applicable to MET fusion gene. However, the response of different MET fusion partners to treatment is heterogeneous; therefore, future studies should investigate the specific mechanism of action of this fusion gene.
Multiple studies have indicated that for newly diagnosed NSCLC patients with MET fusion, highly selective type I MET inhibitors (e.g., camatinib, savolitinib) or multi-targeted tyrosine kinase inhibitors (e.g., crizotinib) are the preferred first-line therapeutic options. Moreover, treatment selection can be further optimized based on the specific fusion partner subtype; for instance, crizotinib or capmatinib is preferred for patients with KIF5B-MET fusion. In the event of disease progression following monotherapy with an MET inhibitor, it is imperative to clarify the underlying resistance mechanism via NGS and consider switching to an alternative MET inhibitor of a different type. If resistance is driven by bypass pathway activation (e.g., EGFR amplification), a combination regimen incorporating the original MET inhibitor plus a targeted agent against the bypass pathway is recommended. Furthermore, for the special populations with brain metastases, priority should be given to MET inhibitors with proven blood–brain barriers (e.g., tepotinib, crizotinib). Alternatively, a combined strategy of MET inhibitor therapy plus whole-brain radiotherapy may be adopted.
Combinational studies. Combinations of MET inhibitors and other agents have been investigated as treatments for NSCLC. Among these, the most well-studied combination has been MET inhibitors with EGFR inhibitors (Table 4). In EGFR-activated NSCLC, activation of the MET pathway is a mechanism of both primary (de novo) and acquired resistance to EGFR inhibitors, particularly EGFR tyrosine kinase inhibitors (TKIs). A substantial overlap is present between MET and EGFR downstream signaling targets and includes important pro-oncogenic pathways such as PI3K/AKT and ERK/MAPK (Figure 5) [81]. MET activation may therefore bypass EGFR inhibition by compensatory signaling to these shared downstream pathways. Coincident MET and EGFR activation may synergistically enhance the signal strength of their common pro-survival, pro-proliferation pathways, thus confer a general selective advantage to tumor cells [147,148]. MET and EGFR inhibitor combination strategies seek to exploit cellular dependence on this oncogenic synergy, as simultaneous inhibition of both targets may also produce synergistic anti-tumor effects.
Figure 5. Molecular Mechanisms and strategies for overcoming resistance to EGFR and MET TKIs, including (A) EGFR mutation combined with HGF/MET amplification (GCN) confers resistance to EGFR TKIs [8,15,112,148]; (B) Activation of the HGF-MET pathway leads to resistance of ALK TKIs [149,150,151]; (C) EGFR amplification/MET mutation/PIK3CA mutation/PTEN loss confers resistance to MET TKIs [30,152,153,154].
Figure 5. Molecular Mechanisms and strategies for overcoming resistance to EGFR and MET TKIs, including (A) EGFR mutation combined with HGF/MET amplification (GCN) confers resistance to EGFR TKIs [8,15,112,148]; (B) Activation of the HGF-MET pathway leads to resistance of ALK TKIs [149,150,151]; (C) EGFR amplification/MET mutation/PIK3CA mutation/PTEN loss confers resistance to MET TKIs [30,152,153,154].
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Table 4. Clinical trials evaluating the combination of targeting MET and EGFR.
Table 4. Clinical trials evaluating the combination of targeting MET and EGFR.
Clinical TrialsMET IhibitorsEGFR InhibitorsTarget CohortsNo. PatientsPhaseComments (Reference)
NCT00854308OnartuzumabErlotinibEGFR-mutant advanced NSCLC137IIOnartuzumab plus erlotinib was associated with improved PFS and OS in the MET-positive population [116].
NCT00777309TivantinibErlotinibPreviously treated patients with EGFR TKI–naive advanced NSCLC167IINo significant improvements in PFS; Cohort with KRAS mutations achieved a PFS HR of 0.18 (p = 0.002) [46].
NCT01244191
(MARQUEE)
TivantinibErlotinibLocally advanced or metastatic non-squamous NSCLC who had received one or two lines of prior systemic therapy1048IIIModest improvement in PFS, no improvement in OS [155].
NCT01377376 (ATTENTION)TivantinibErlotinibAsian nonsquamous NSCLC patients with wild type EGFR460IIITivantinib plus erlotinib might improve PFS than erlotinib alone but did not demonstrate an improvement in OS in nonsquamous NSCLC patients with WT-EGFR [104].
NCT01708954Cabozantinib (XL184)ErlotinibEGFR-wild type NSCLC125IICabozantinib and cabozantinib plus erlotinib significantly improved PFS over erlotinib alone [156]; There were no responses in the combination arm of phase II in patients with acquired resistance to erlotinib [157].
NCT01866410CabozantinibErlotinibEGFR-Mutant NSCLC who had progressed to EGFR TKIs37IMedian PFS was 3.7 months. Combination of erlotinib and cabozantinib demonstrates activity in a highly pretreated population of patients with EGFR mutation and progression on EGFR TKI [158].
NCT01121575CrizotinibDacomitinibProgression after at least one line of chemotherapy or targeted therapy70ILimited antitumor activity, substantial toxicity, diarrhea, rash, and fatigue, but has only modest clinical efficacy [159].
NCT01911507Capmatinib (INC280)ErlotinibMET expressing NSCLC44IShowed encouraging clinical activity in EGFR TKI-resistant NSCLC pts [160].
NCT01610336Capmatinib (INC280)GefitinibEGFR-mutant, cMET-positive (cMET+)161Ib/IIShowed encouraging clinical activity in EGFR TKI-resistant NSCLC pts, particularly in pts with high cMET GCN [143].
NCT02335944CapmatinibEGF816MET amplification, acquired resistance to osimertinib and rocelitinib180IIPreclinical study showed advantage of inhibiting T790M, targets acquired resistance and reduce toxicities [161].
NCT01982955TepotinibGefitinibAsian patients with c-Met-positive/EGFR-mutant NSCLC701b/IIImproved anti activity for tepotinib plus gefitinib compared with standard chemotherapy in patients with EGFR-mutant NSCLC and MET amplification [162].
NCT02143466Savolitinib (AZD609)OsimertinibEGFR-mutant advanced NSCLC who have progressed following therapy with an EGFRTKI; Metastatic NSCLC with MET-mediated resistance to EGFR TKI308IbSavolitinib (800 mg once daily) and osimertinib (80 mg once daily); Objective response rate was 44% (22% to 69%) [56], response 36 W then progress; 1 Showed advantage of inhibiting T790M, targeted acquired resistance and reduce toxicities with acceptable risk-benefit [163].
NCT02609776 (CHRYSALIS)AmivantamabLazertinibTreatment-naïve and osimertinib (osi)-relapsed patients (pts) with EGFRm NSCLC780IThe combination of amivantamab and lazertinib yielded responses in 36% of chemotherapy-naïve pts who progressed on osi [61,164].
NCT00965731CrizotinibErlotinibAdvanced NSCLC harbored activating EGFR mutations27I/IICrizotinib (150 mg twice daily) and erlotinib (100 mg once daily), achieved confirmed partial responses (2/27); diarrhea, rash, decreased appetite, and fatigue [50].
NCT05009836
(SANOVO)
SavolitinibOsimertinibPatients with EGFRm+/MET+ NSCLC, and Carrying EGFR mutations sensitive to EGFR-TKI320IIINo results posted yet.
NCT05015608
(SACHI)
SavolitinibOsimertinibNSCLC (stage IIIB, IIIC or IV), MET amplification after disease progression following the first-line therapy and/or EGFR-TKI.250IIINo results posted yet.
NCT05163249SavolitinibOsimertinibEGFRm+ NSCLC harboring an EGFR TKI sensitivity mutation, and with MET amplification44IINo results posted yet.
NCT05261399 (SAFFRON)SavolitinibOsimertinibNSCLC with at least one documented sensitizing EGFR mutation and with MET overexpression324IIINo results posted yet.
NCT06106802TepotinibLazertinibMET Overexpressed or Amplified after Lazertinib Treatment in EGFR Mutant NSCLC47IINo results posted yet.
NCT04606771SavolitinibOsimertinibComparing Savolitinib plus Osimertinib vs. Savolitinib plus Placebo in EGFRm+ and MET amplified advanced NSCLC30IINo results posted yet.
NCT06343064Vebreltinib (PLB1001)PLB1004Vebreltinib plus PLB1004 in EGFR-mutated, Advanced NSCLC With MET Amplification or MET Overexpression Following EGFR-TKI156IINo results posted yet.
NCT04868877MCLA-129MCLA-129MCLA-129, a Human Anti-EGFR and Anti-c-MET Bispecific Antibody380IINo results posted yet.
NCT04992858ningetinibgefitinibNingetinib + gefitinib show activity in EGFRmt, MET-amp, AXL-overexpressed NSCLC.80IINingetinib plus gefitinib in EGFR-mutant non-small-cell lung cancer with MET and AXL dysregulations: A phase 1b clinical trial and biomarker analysis [165].
NCT06106802TepotinibLazertinibEGFR Mutant NSCLC in MET Overexpressed or Amplified Who Progressed After Lazertinib Treatment47IINo results posted yet.
NCT06574347VebreltinibPLB1004EGFRm+/MET+ Locally Advanced or Metastatic NSCLC120IINo results posted yet.
NCT06970782VebreltinibPLB1004EGFR Mutations, MET Amplification and/or Overexpression, locally advanced or metastatic NSCLC following EGFR-TKI treatment failure278IIINo results posted yet.
NCT06962865RC108FurmonertinibEGFR-Mutated Combined MET-Positive Unresectable Locally Advanced or Recurrent Metastatic NSCLC80IINo results posted yet.
NCT07109531ASKC202LimertinibLocally advanced or metastatic NSCLC with MET amplification/overexpression after failure of EGFR inhibitor therapy286IIINo results posted yet.
NCT07087223VebreltinibFurmonertinibLocally Advanced or Metastatic NSCLC Patients With c-Met Amplification After EGFR-TKI Failure42Ib/IINo results posted yet.
In the context of acquired resistance to EGFR TKIS, MET activation most frequently occurs via amplification of the MET gene. MET amplification was first identified in 2007 as a cause of developed resistance to the EGFR TKI gefitinib [8]. Around the same time, MET-amplified cell lines exhibited sensitivity to MET inhibition [166]. In lung cancer, MET amplification is now recognized as the second most common mechanism of acquired resistance to EGFR TKIs, after the acquisition of the EGFR T790M mutation. Approximately 20% of NSCLCs with acquired resistance to EGFR TKIs have MET amplification [93,167]. MET activation is also implicated as a potential de novo mechanism of resistance: one 2010 study reported that MET protein expression and phosphorylation were associated with de novo resistance to EGFR TKI therapy in NSCLC patients harboring activating EGFR mutations [168].
Despite the sound rationale for combining EGFR TKIs and MET inhibitors, some trials have encountered problems. As previously noted, two major phase III clinical trials investigating erlotinib with either tivantinib or onartuzumab failed to meet their primary endpoints of OS, largely due to inadequate patient selection criteria based on MET IHC positivity. Additionally, issues associated with the pharmacological interactions and overlapping toxicity profiles of the EGFR TKI erlotinib and the MET TKI crizotinib, particularly with respect to diarrhea, suggest that these drugs may not be suitable combinatorial partners. The limited efficacy further argues against the evaluation of this combination in unselected patients [169]. Matthew G Krebs et al. reported that treatment-emergent adverse events (TEAEs) related to EGFR and MET inhibition—including dermatologic AEs, stomatitis, and peripheral edema—accounted for the majority of dose interruptions and reductions in the study cohort [170]. The most frequently observed TEAEs were rash and IRRs, with 77 participants (79%) and 70 participants (72%) reporting these events, respectively. Among them, the number of patients who interrupted, reduced or stopped medication due to treatment-related adverse reactions was 27 (28%), 11 (11%) and 9 (9%), respectively.
In contrast, some encouraging results have been reported with the combination of the highly potent, selective MET inhibitor capmatinib (INC280) with the EGFR-TKI gefitinib. A combination of a full single agent dose of gefitinib (250 mg daily) with capmatinib (400 mg twice daily) has shown acceptable toxicity and no pharmacologic interactions. The response rate to the combination was 31% (28 of 90 cases), with the best results seen in patients with an MET copy number gain of at least six, with a response rate of 50% (16 of 32 cases) reported. Similarly, favorable results have been reported for the combination of capmatinib with erlotinib, as well as the combination of gefitinib with tepotinib, another MET inhibitor [143,162].
The ongoing, multi-arm, phase Ib TATTON study investigates the potent and highly selective MET-TKI savolitinib (600 mg/300 mg) combined with the EGFR-TKI osimertinib (80 mg) for selected patients with MET-positive advanced NSCLC and resistance to previous EGFR-TKI treatment. As of Jan 2023, results from TATTON show an acceptable safety profile and promising anti-tumor activity for the combination. In the cohort with disease progression on a no prior third-generation EGFR-TKI, the ORR was 65% (33 of 51 patients), and the median duration of response was 10.7 months. In the cohort with disease progression on a prior third-generation EGFR-TKI, the ORR was 33% (23 of 69 patients) and the median duration of response was 9.5 months. The TATTON study also demonstrated no appreciable difference in antitumor efficacy among the evaluated dose cohorts of savolitinib, a conclusion that is substantiated by the progression-free survival (PFS) data [171]. The results cutoff date in June 2025 from SAVANNAH showed the combination of savolitinib plus osimertinib demonstrated a high, clinically meaningful and durable response in patients with EGFR-mutated advanced NSCLC with MET IHC3+/≥90% and/or FISH10+ status, and the ORR was 56.3 by investigator assessment [172].
In other promising preclinical studies, a selective MET inhibitor SGX-523 combined with either first or third generation EGFR-TKIs led to a dramatic regression of EGFR-TKI resistant tumors and delayed the emergence of drug resistance [173,174].

6. MET TKI Resistance

Several mechanisms of resistance to MET inhibitors have been investigated in NSCLC, including EGFR amplification and emergence of secondary MET mutations in the tyrosine kinase domain (Figure 5C). Clinically described MET mutations associated with acquired MET inhibitor resistance (D1228V, D1228N, Y1248H and D1246N) alter residues near the active site involved with drug binding. Interestingly, these mutations confer resistance to type I but not type II MET inhibitors, likely due to the difference in binding regions utilized [154,175].
When a target mutation occurs in MET kinase domain, it is called type I resistance [176]. Selected patients who acquire resistance to a type I MET inhibitor could benefit from switching to a type II MET inhibitor [20]. MET type II resistance, on the other hand, develops resistance to MET inhibitors through mechanisms such as bypass activation, at which point the type I/II MET inhibitors lose their inhibitory effect. In vitro studies have also placed EGFR amplification as a cause of de novo MET inhibitor resistance in MET-dependent NSCLC cell lines [177]. Sequential therapy with distinct MET inhibitors could potentially overcome type- or drug-specific acquired resistance. In addition, multikinase MET inhibitors with differing kinase target profiles could conceivably overcome specific resistance mechanisms involving its other kinase targets; however, the implications of multikinase activity for treatment are not well understood. Treatment of MET TKI-resistant NSCLC will require case-by-case identification of the resistance mechanism and tailored treatment strategies.

7. Immunotherapy

A substantial percentage of MET-activated NSCLCs express the immunosuppressive ligand PD-L1. Among MET-amplified NSCLCs, the reported prevalence of PD-L1 IHC expression is as high as 34.6% at a >5% cutoff and 18.6% at a ≥50% cutoff. In NSCLC with METex14 alterations, the PD-L1 IHC expression rate is 61% at a >1% cutoff, and 44% at a ≥50% cutoff. The frequency of PD-L1 expression in these tumors has prompted exploration into treatment with immune checkpoint inhibitors (ICIs) against PD-L1 and PD-193.
However, monotherapy with PD-L1/PD-1 blockades has thus far produced disappointing results in lung cancer patients with METex14 alterations. A retrospective study of 15 such patients, variously receiving nivolumab, pembrolizumab, atezolizumab, durvalumab, or ipilimumab with nivolumab, reported an ORR of 13%. Patients with ≥50% PD-L1 in tumors had an ORR of 33%, and those with 0% PD-L1 in tumors had an ORR of 20%. The response rate to ICIs seen in this study is relatively low compared to that of targeted MET inhibitors (crizotinib, tepotinib, and capmatinib) for METex14-altered NSCLC. This modest response rate may owe in part to the low median tumor mutational burden (TMB) of METex14-altered lung cancers relative to unselected NSCLCs; tumors with a low TMB often display fewer neoantigens recognizable by lymphocytes and are less likely to respond to immunotherapy.
MET activation may also in itself contribute to ICI resistance. While the immunomodulatory functions of the MET pathway are not well characterized, it appears to play an overall immunosuppressive role in cancers, primarily by inducing an increase in Treg cells and increases in IL-10 and TGF-β. Furthermore, MET signaling has been shown to directly upregulate PD-L1 expression in several lung adenocarcinoma cell lines. In NSCLCs, PD-L1 expression is also significantly and positively correlated with MET expression.
METex14 alterations and PD-L1 overexpression engage in a bidirectional rather than unidirectional regulation, further intensifying immune escape. Specifically, METex14 aberrations remodel the tumor immune microenvironment through multiple mechanisms and trigger distinct pro-immunosuppressive signaling cascades. Beyond its canonical role as an immunosuppressive checkpoint molecule, PD-L1 also participates in the core signaling pathways governing tumor cell proliferation. Consequently, monotherapy targeting the PD-1/PD-L1 axis fails to abrogate METex14-driven tumor progression or disrupt the synergistic immune evasion machinery orchestrated by these two factors—a major contributor to the limited efficacy of ICIs in this patient population. Therefore, combination therapy of ICIs with targeted MET inhibitors remains an attractive avenue of investigation and may be able to overcome ICI resistance conferred by overactive, immunosuppressive MET signaling [178]. However, caution should be exercised with regard to toxicity, as simultaneous inhibition of multiple immunoregulatory targets could also increase the likelihood of serious immune-related adverse events. There also exists a need to identify and validate good predictive biomarkers for the positive response to ICI therapy. PD-L1, in particular, is increasingly recognized as a highly imperfect predictor of ICI treatment outcome. Interpretation of PD-L1 status could be further confounded in MET-activated tumors since it may be unclear when PD-L1 expression is a secondary consequence of MET signaling or offers a crucial selective advantage in escaping immune surveillance.

8. Conclusions

Activation of the MET pathway represents both an oncogenic driver and a promising therapeutic target in NSCLC. Historically, drug development has focused primarily on MET TKIs and, to a lesser extent, monoclonal antibodies. Although many MET inhibitors have not met their primary endpoints in phase III trials, they continue to show clinical benefit in specific patient subgroups with MET-driven alterations, particularly MET amplification and MET exon 14 skipping mutations. Future progress will depend on improving patient selection through the development of reliable companion diagnostics and a deeper understanding of the mechanistic differences among MET inhibitors. Combination therapy strategies have shown greater clinical promise than monotherapy by mitigating resistance and enhancing efficacy. Ongoing research in these areas is essential to fully integrate MET-targeted therapies into routine clinical practice and expand treatment options for patients with NSCLC.

Author Contributions

Conception and design: S.W.; Analysis and interpretation of data (e.g., statistical analysis): all authors; Writing, review, and/or revision of the manuscript: all authors; Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): all authors; Study supervision: S.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by China Scholarship Council, grant number 201608525081.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Acknowledgments

The authors gratefully acknowledge the financial support provided by the China Scholarship Council (CSC) for the academic visiting fellowship, which significantly enriched this research experience. We extend our sincere gratitude to Tianhong Li for his unwavering support and patient guidance, which profoundly deepened our understanding of the MET field. His expertise and insights have been invaluable throughout this endeavor. Special thanks are due to Eddie Tian for his thoughtful and constructive feedback on the manuscript. His meticulous comments and suggestions greatly enhanced the quality of this review.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ALKanaplastic lymphoma kinase
CAFscancer-associated fibroblasts
CBLCasitas B-lineage lymphoma protein
ctDNAcirculating tumor DNA
dPCRdigital PCR
ddPCRdroplet digital PCR
EGFRepidermal growth factor
ERK/MAPKErk/mitogen-activated protein kinase
FFPEformalin-fixed paraffin-embedded
FISHin situ hybridization
GCNgene copy number
Grb2growth factor receptor-bound protein 2
GAB1Grb2-associated binder
HGFhepatocyte growth factor
HGFRhepatocyte growth factor receptor
ICIsimmune checkpoint inhibitors
IHCimmunohistochemistry
IPTImmunoglobulin-plexin-transcription
JMjuxtamembrane
METMesenchymal-Epidermal Transition
NSCLCNon-small cell lung cancer
NGSNext-generation sequencing
OSoverall survival
PAXpaired box
PI3K/AKTphosphoinositide 3-kinase/Akt pathway
PSIplexins-semaphorin-integrin
PRpartial response
RT-PCRreal-time polymerase chain reaction
Scr2Steroid receptor coactivator 2
SEAMsema homology region
SFscatter factor
SHCSrc homology 2 domain containing
STAT3signal transducer and activator of transcription 3
TEAEstreatment-emergent adverse events
TKtyrosine kinase
TKIstyrosine kinase inhibitors
TMBtumor mutational burden

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Figure 1. Milestones of discovery for MET alterations in lung cancers [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44].
Figure 1. Milestones of discovery for MET alterations in lung cancers [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44].
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Figure 2. Milestones of treatment for MET alterations in lung cancers [12,15,20,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68].
Figure 2. Milestones of treatment for MET alterations in lung cancers [12,15,20,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68].
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Figure 3. Schematic structure of c-MET protein and the strategies for targeting the HGF-MET signaling pathway [16,71,73,76,77,78,79,80].
Figure 3. Schematic structure of c-MET protein and the strategies for targeting the HGF-MET signaling pathway [16,71,73,76,77,78,79,80].
Cancers 18 00207 g003
Table 1. Clinical trials evaluating the MET Exon14 (Targeting Exon 14 Skipping).
Table 1. Clinical trials evaluating the MET Exon14 (Targeting Exon 14 Skipping).
AgentSpecimenMET TestingNBrain (N) MetastasisORR% (95%CI)DOR (Months)PFS (Months)
Clinical TrailCapmatinib (GEOMETRY study)TissueRT-PCR97 1L-67.9 (47.6, 84.1)1L-11.1 (5.55, NE)1L-9.7 (5.5,13.86)
1L-281L-3
2/3L-692/3L-112/3L-40.6 (28.9, 53.1)2/3L-9.7 (5.55, 12.98)2/3L-5.4 (4.2, 6.97)
Tepotinib (VISION study)LiquidNGS87
1L-33
2/3L-54
8Liquid-50 (35.2, 64.8)Liquid-12.4 (5.8, NE)Liquid-9.5 (6.7, NE)
1L-58.8 (32.9, 81.6)
2L-53.3 (26.6, 78.7)
≥2L-45.2
TissueNGSTissue-45.1 (31.1, 59.7)Tissue-15.7 (9.0, NE)Tissue-10.8 (6.9, NE)
1L-44.4 (21.5, 69.2)
2L-50 (26, 74)
≥2L-45.5
CrizotinibTissue-local 65NA32 (21, 45)9.1 (6.4, 12.7)7.3 (5.4, 9.1)
Prospective central tissue
Liquid ctDNA
SavolitinibTissue 29554.8NANA
First-line
Therapy
Pembro (PD-L1 >= 50%)TissueIHC1541844.8 (36.8, 53)NR (1.9+, 14.5+)10.3 (6.7, NE)
Carbo/pem/pembro (non-squam) 47.611.28.8
CapmatinibTissue 67.911.19.7
TepotinibTissue 44.415.710.8
Blood 58.812.49.5
NA: Not Applicable; NE: Not Evaluated.
Table 2. Methods for detecting MET Alterations in lung cancer.
Table 2. Methods for detecting MET Alterations in lung cancer.
Genetic AlterationCommon GenotypesPrevalenceFISHIHCNGSPCR
MET amplificationSomatic copy number5.2% (12 of 230) [89] Yes
MET copy number ≥ 5 (polysomy + gene amplification)11.1% (48 of 435) [111]Yes Yes
MET copy number ≥ 5 (polysomy only)4.1% (18 of 435) [111]Yes
MET copy-number > 35.6% (12 of 213) [9] Yes
MET/CEP7 ratio ≥ 51.0% (4 of 392) [16,101]
MET amplification1.4% (2 of 148) [10]Yes Yes
MET amplification3.27% (82 of 2507) [112] Yes
Exon 14 skipping alterationsMET splice mutations (JM domain deleted)3.3% (7 of 211) [10] Yes
Exon 14 skipping alterations4.3% (10 of 230) [89] Yes
Exon 14 skipping alterations3% (131 of 4402) [90] Yes
Exon 14 skipping alterations1.7% (3 of 178) [10] Yes
Exon 14 skipping alterations2.6% (10 of 392) [16] Yes
Exon 14 skipping alterations1.1% (125 of 11,306) [113] 1.1%, (175 of 18,112) [31] Yes
Protein overexpressionMET/p-MET expression in NSCLC37% ≥ 2+ [110]; 61% ≥ 2+ [114] Yes
MET/p-MET expression in ADC35% [115]; 67% ≥ 2+ [114]; 72% [4] Yes
MET/p-MET expression in SCC38% [4] Yes
METi-resistant mutationsD1228N in the MET kinase domain [116]NA Yes
Y1230H in the MET activation loop [117]NA Yes
L1195V, D1228N/H/Y/E, Y1230C/H/N/S, and a double-mutant within codons D1228 and M1229 in MET TKD [19]NA Yes
MET fusionsKIF5B–MET [118]NA Yes
HLA-DRB1-MET [119]NA Yes
EML4-MET [39]NA Yes
CD47-MET [40]NA Yes
TFG-MET [41]NA Yes
HLA-DQB2-MET [42]NA Yes
NA: Not Available.
Table 3. Approval Status and Key Characteristics of Type I/II MET Inhibitors.
Table 3. Approval Status and Key Characteristics of Type I/II MET Inhibitors.
Inhibitor TypeDrugApprovalRemark
Type I MET inhibitorsCapmatinibFDA: 2020.05 NMPA: 2024.09High selectivity, effective against METex14 skipping mutations and MET amplification
TepotinibFDA: 2021.02 NMPA: Not approvedIt can penetrate the blood–brain barrier and has good tolerance
SavolitinibFDA: Not approved NMPA: 2021.06The first drug approved for Chinese patients with METex14 skipping mutations
CrizotinibFDA: 2011.08 NMPA: 2013.01Multi-target inhibitors, low specificity
Type II MET inhibitorsCabozantinibFDA: 2012.11 (Medullary thyroid carcinoma), 2016.04 (Advanced renal cell carcinoma) NMPA: 2021.03 (Liver cancer), Not approved (NSCLC)Multi-target coverage such as MET, VEGFR2, and AXL
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Deng, F.; Ma, W.; Wei, S. Targeting Mesenchymal-Epidermal Transition (MET) Aberrations in Non-Small Cell Lung Cancer: Current Challenges and Therapeutic Advances. Cancers 2026, 18, 207. https://doi.org/10.3390/cancers18020207

AMA Style

Deng F, Ma W, Wei S. Targeting Mesenchymal-Epidermal Transition (MET) Aberrations in Non-Small Cell Lung Cancer: Current Challenges and Therapeutic Advances. Cancers. 2026; 18(2):207. https://doi.org/10.3390/cancers18020207

Chicago/Turabian Style

Deng, Fahua, Weijie Ma, and Sixi Wei. 2026. "Targeting Mesenchymal-Epidermal Transition (MET) Aberrations in Non-Small Cell Lung Cancer: Current Challenges and Therapeutic Advances" Cancers 18, no. 2: 207. https://doi.org/10.3390/cancers18020207

APA Style

Deng, F., Ma, W., & Wei, S. (2026). Targeting Mesenchymal-Epidermal Transition (MET) Aberrations in Non-Small Cell Lung Cancer: Current Challenges and Therapeutic Advances. Cancers, 18(2), 207. https://doi.org/10.3390/cancers18020207

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