Literature DB >> 29285237

Outcome of EGFR-mutated NSCLC patients with MET-driven resistance to EGFR tyrosine kinase inhibitors.

Simon Baldacci1,2, Julien Mazieres3, Pascale Tomasini4, Nicolas Girard5, Florian Guisier6, Clarisse Audigier-Valette7, Isabelle Monnet8, Marie Wislez9, Maurice Pérol10, Pascal Dô11, Eric Dansin12, Charlotte Leduc13, Etienne Giroux Leprieur14, Denis Moro-Sibilot15, David Tulasne2, Zoulika Kherrouche1,2, Julien Labreuche16, Alexis B Cortot1,2.   

Abstract

Background: Several mechanisms of acquired resistance to EGFR tyrosine kinase inhibitors (TKIs) in EGFR-mutated NSCLC have been described including the T790M mutation and MET amplification. Whereas T790M mutation confers prolonged survival and sensitivity to 3rd generation TKIs, data are lacking on clinical features and outcome of MET-driven resistant EGFR-mutated NSCLC patients.
Methods: Patients with metastatic EGFR-mutated NSCLC displaying high MET overexpression or MET amplification, detected on a biopsy performed after progression on EGFR TKI, were identified in 15 centers. Clinical and molecular data were retrospectively collected.
Results: Forty two patients were included. The median overall survival (OS), and the median post EGFR TKI progression overall survival (PPOS) were 36.2 months [95%CI 27.3-66.5] and 18.5 months [95%CI 10.6-27.4] respectively. Nineteen out of 36 tumors tested for MET FISH had MET amplification. A T790M mutation was found in 11/41 (26.8%) patients. T790M-positive patients had a better OS than T790M-negative patients (p=0.0224). Nineteen patients received a MET TKI. Objective response was reported in 1 out of 12 evaluable patients treated with a MET inhibitor as a single agent and in 1 of 2 patients treated with a combination of MET and EGFR TKIs.
Conclusion: MET-driven resistance to EGFR TKI defines a specific pattern of resistance characterized by low objective response rate to MET inhibitors given alone and overlapping with T790M mutations. Further studies are warranted to define adequate therapeutic strategies for MET-driven resistance to EGFR TKI.

Entities:  

Keywords:  EGFR; MET; non small cell lung cancer; resistance; tyrosine kinase inhibitors

Year:  2017        PMID: 29285237      PMCID: PMC5739624          DOI: 10.18632/oncotarget.21707

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

EGFR mutations are found in 10% of non small cell lung cancer (NSCLC) in Caucasians and 40% in Asians [1]. Treatment of advanced EGFR-mutated NSCLC patients relies on EGFR tyrosine kinase inhibitors (TKIs), which demonstrated superiority over chemotherapy as first-line therapy [2-5]. However, despite initial efficacy, all the patients will eventually develop resistance to EGFR TKIs resulting in tumor progression [6]. The most frequent mechanism of resistance is the T790M mutation, a second EGFR mutation that can be successfully targeted with third generation EGFR TKIs which have been specifically designed to overcome T790M-driven resistance [7, 8] Besides T790M mutation, bypass activation of other tyrosine kinase receptors including MET or HER2 is the second most common mechanism of resistance to EGFR TKI. MET amplification leads to overexpression and constitutive activation of the receptor, thus activating the PI3K pathway and bypassing EGFR [9]. MET amplification has been detected in 5 to 22% of patients with an acquired resistance to EGFR TKI [9-14]. MET amplification is highly associated with high overexpression of MET in NSCLC (p<0.001) [15, 16]. Moreover, high MET overexpression with a 3+ immunoscore (IHC3+) by immunohistochemistry was recently found in 27% of EGFR mutated NSCLC with acquired resistance to EGFR TKI [17]. Little data is available about clinical characteristics and outcome of EGFR-mutated NSCLC patients with MET-driven resistance to EGFR TKIs. Moreover, optimal treatment of these patients is still unknown. Preclinical data and case reports suggest that MET-amplified EGFR-mutated NSCLC are addicted to both MET and EGFR and that combination of MET and EGFR TKIs is required to overcome this mechanism of resistance [9, 18, 19]. Whereas available data and specific treatments emerge for T790M-driven resistance in EGFR-mutated NSCLC patients, MET-driven resistance is still an unexplored field [20-22]. In the present study, we report clinical features, outcome and treatment in a series of EGFR-mutated NSCLC patients with MET-driven resistance to EGFR TKI.

RESULTS

Clinico-pathological and molecular characteristics

Forty six patients with metastatic NSCLC displaying both EGFR mutation and MET overexpression or MET gene amplification were retrospectively identified in 15 centers. Four patients were excluded : 3 had only a biopsy performed before EGFR TKI initiation, and 1 had no data available on the treatments received. Forty two patients were included. Re-biopsies of these patients had been performed from May 2011 to May 2016. Patient clinical characteristics are summarized in Table 1. All 42 patients were diagnosed with metastatic lung adenocarcinoma. Median age was 65.1 years (range 30-82.7). The majority of patients were women (66.7%) and never smokers (70.7%). Most of the EGFR mutations detected on the initial biopsy were exon 19 deletions or exon 21 L858R point mutations.
Table 1

Patient characteristics

Overall populationMET amplificationMET overexpression no MET amplificationpT790M+T790M-p
n = 42n = 19n = 17n = 11n = 30
Median age (years)65,1 (30-82,7)*64,6 (30-74,6)*65,6 (38,4-82,7)*0,7356,9 (45,2-70,3)*67,4 (30-82,7)*0,038
Gender0,350,28
 Men14 (33,3%)5 (26,3%)7 (41,2%)2 (18,2%)12 (40%)
 Women28 (66,7%)14 (73,7%)10 (58,8%)9 (81,8%)18 (60%)
Smoking status0,451
 Never smoker29 (70,7%)12 (63,2%)12 (75%)8 (72,7%)20 (69%)
 Former and current smoker12 (29,3%)7 (36,8%)4 (25%)3 (27,3%)9 (31%)
Stade IV42 (100%)19 (100%)17 (100%)11 (100%)30 (100%)
Adenocarcinoma42 (100%)19 (100%)17 (100%)11 (100%)30 (100%)
Initial EGFR mutation0,590,55
 Exon 19 deletion or Exon 21 L858R mutation39 (92,9%)18 (94,7%)15 (88,2%)11 (100%)27 (90%)
 Other**3 (7,1%)1 (5,3%)2 (11,8%)0 (0%)3 (10%)

*: range ; ** : 1 exon 20 S768I mutation, 1 association of exon 21 L858R and K860I mutations, 1 association of exon 19 R761Y and exon 18 G719A mutations ; † : one missing data in total population ; TKI : tyrosine kinase inhibitor ; p : p value

*: range ; ** : 1 exon 20 S768I mutation, 1 association of exon 21 L858R and K860I mutations, 1 association of exon 19 R761Y and exon 18 G719A mutations ; † : one missing data in total population ; TKI : tyrosine kinase inhibitor ; p : p value The most frequent site of rebiopsy was the lung and re-biopsies were performed, in 90.5% of the cases, after the Response Evaluation Criteria in Solid Tumor (RECIST) progression on EGFR TKI, which was given as first or second line treatment (Supplementary Table 1). The median time between EGFR TKI initiation and re-biopsy was 15.6 months (range 2.1-61.3). Among the 42 patients included in the study, 36 tumor re-biopsy samples were tested for MET FISH and 19 (52.8%) were found MET amplified (Figure 1). MET IHC was performed on the re-biopsy of 36 patients and all displayed a high level of MET expression (IHC3+). Six patients had a MET FISH but no MET IHC on their re-biopsy and conversely 6 other patients had MET IHC and no interpretable MET FISH. No difference was found regarding the MET amplified status between patients with an EGFR exon 19 deletion or an EGFR exon 21 mutation on the initial biopsy (Supplementary Table 2 ). Re-biopsies of 34 patients were tested for the BRAF mutations and none harbored a mutation of this oncogene. Otherwise no histological transformation in small cell lung cancer was reported among the 42 patients of the study.
Figure 1

Flow chart of MET overexpression and MET amplification status on post EGFR TKI initiation sample

IHC : Immunohistochemistry ; FISH : Fluorescence In Situ Hybridization ; TKI : tyrosine kinase inhibitor.

Flow chart of MET overexpression and MET amplification status on post EGFR TKI initiation sample

IHC : Immunohistochemistry ; FISH : Fluorescence In Situ Hybridization ; TKI : tyrosine kinase inhibitor.

Clinical outcome and EGFR TKI treatment characteristics

Characteristics of initial EGFR TKI therapy are shown in Table 2. All patients received a first or second generation EGFR TKI. The overall response rate (ORR) was 82.1%, and the median progression free survival (PFS) was 11.1 months [95%CI 7.6-14.1]. In 73.2% of the cases, tumor progression involved a new lesion. The main site of new metastasis was the lung. 27 patients (66%) developed more than one progressive lesion at EGFR TKI resistance. The median post-progression overall survival (PPOS) and the median overall survival (OS) were respectively 18.5 months [95%CI 10.6-27.4] and 36.2 months [95%CI 27.3-66.5].
Table 2

EGFR TKI treatment characteristics

Overall populationMET amplificationMET overexpression no MET amplificationpT790M+T790M-p
n = 42n = 19n = 17n = 11n = 30
First EGFR TKI received0,491
 Erlotinib or Gefinitib40 (95,2%)17 (89,5%)17 (100%)11 (100%)28 (93,3%)
 Afatinib2 (4,76%)2 (10,5%)0 (0%)0 (0%)2 (6,7%)
Line of the first EGFR TKI therapy0,811
 129 (69%)13 (68,4%)11 (64,7%)8 (72,7%)20 (66,7%)
 213 (31%)6 (31,6%)6 (35,3%)3 (27,3%)10 (33,3%)
Response to the EGFR TKI 10,17
 Objective response32 (82,1%)14 (77,8%)12 (80%)10 (100%)22 (78,6%)
 Stable disease and Progression7 (17,9%)4 (22,2%)3 (20%)0 (0%)6 (21,4%)
Median duration of TKI EGFR therapy (months)13,1 (1,4-52,5)*13,8 (4,1-21,6)*10,2 (1,4-45,4)*0,6114,0 (7,7-25)*10,7 (1,4-52,5)*0,51
EGFR TKI progression involving a new metastasis 30 (73,2%)14 (77,8%)12 (70,6%)0,718 (80%)22 (73,3%)1
EGFR TKI progression involving more than one progressive lesion 27 (65.8%)12 (63.2%)11 (68.8%)110 (90,9%)16 (55.2%)0.065

*: range ; TKI :tyrosine kinase inhibitor ; p : p value ; † : 3 missing data ; ‡ : one missing data

*: range ; TKI :tyrosine kinase inhibitor ; p : p value ; † : 3 missing data ; ‡ : one missing data The characteristics of the EGFR TKI therapy were not significantly different according to the MET FISH status. No significant difference was found between patients with MET amplification and those with MET overexpression and no MET amplification in terms of OS (median OS : 42.8 vs. 36.2 months p = 0.69 ; Figure 2A), PPOS (median PPOS : 13.7 vs. 23.8 months p =0.77) and PFS on EGFR TKI (median PFS : 10.5 vs. 10.1 months p = 0.08). There were also no significant differences between the patients with EGFR exon 19 deletion on the initial biopsy and the patients with EGFR exon 21 mutation in terms of OS (median OS : 36.2 vs. 27.3 months p = 0.33), PPOS (median PPOS 18.5 vs. 12.6 months p = 0.91), and PFS on EGFR TKI (median PFS : 11.7 vs. 9.2 months p = 0.56). Of note only one patient with an EGFR exon 19 deletion received afatinib, and this drug was not used in patients with EGFR exon 21 mutation (Supplementary Table 2).
Figure 2

Overall survival according to T790M status and MET amplification status

(A) Kaplan Meier estimates of overall survival in MET non amplified (blue) and MET amplified (red) patients. (B) Kaplan Meier estimates of overall survival in T790M-negative (blue) and T790M-positive (red) patients.

Overall survival according to T790M status and MET amplification status

(A) Kaplan Meier estimates of overall survival in MET non amplified (blue) and MET amplified (red) patients. (B) Kaplan Meier estimates of overall survival in T790M-negative (blue) and T790M-positive (red) patients.

Impact of the T790M mutational status

Eleven among the 41 patients (26.8%) tested for the T790M mutation were T790M positive. In 9 patients, the T790M mutation was detected in the tumor re-biopsy displaying MET overexpression or MET amplification. In the remaining 2 patients, the T790M mutation was detected in circulating free DNA in one case and in a tumor biopsy obtained before the re-biopsy displaying MET overexpression and MET amplification in another case. Three patients had both MET amplification and T790M mutation in the same sample. The T790M-positive patients were significantly younger than T790M-negative patients and the time between EGFR TKI initiation and re-biopsy was significantly longer in T790M positive patients (Table 1 and Supplementary Table 1). T790M-positive patients had a better OS (median OS 43.1 vs. 32.2 months, p=0.0224) than T790M-negative patients (Figure 2B). There was also a trend to a better PPOS in T790M-positive patients compared to the T790M-negative patients although it did not reach statistical significance (median 23.8 vs. 11.0 months, p=0.075, Supplementary Table 3).

Treatment with MET inhibitors and third generation EGFR TKI therapy

Nineteen patients received a MET inhibitor, mostly crizotinib, including 13 MET-amplified patients (Table 3). The MET inhibitor was given as a monotherapy in 15 patients and in combination with an EGFR TKI in 4 patients. The MET inhibitor was used as 2nd or 3rd line in most of the cases. Objective response was reported in 1 out of 12 evaluable patients treated with a MET inhibitor as single agent and in 1 out of 2 evaluable patients treated with a combination of MET and EGFR inhibitors (Figure 3A and 3B). The MET inhibitor was stopped because of elevated liver enzymes in 2 patients and diarrhea in one patient. Two of these patients received the MET inhibitor in combination with an EGFR TKI. The median times between re-biopsy and MET inhibitor initiation and first EGFR TKI withdrawal and MET inhibitor initiation were respectively 2.3 months and 3.1 months.
Table 3

MET inhibitor tumor response

IDMET amplificationIHC MET 3+T790MMET inhibitorEGFR TKI in combination therapyLineRECIST ResponseMET inhibitor statusDuration of MET inhibitor (days)
1-+-crizotinibgefitinib2-stopped (toxicity)10
2++-crizotinib-5PDstopped (PD)37
4+-crizotinib-4-stopped (patient's decision)2
5++crizotinib-5SDongoing107
6++-crizotinib-2SDongoing15
7++-crizotinib-3PDstopped (PD)20
9++-crizotinib-2-stopped (toxicity)9
10++-crizotinib-3PDstopped (PD)59
12-+-otherother2SDongoing49
14+-crizotinib-2SDongoing42
18++crizotinib-4SDstopped (PD)111
19++crizotinib-4PDstopped (PD)55
20-+-other-6SDstopped (PD)119
25+-crizotinib-2PRongoing41
32-+-other-3PDstopped (PD)22
37++-otherother3PRstopped (PD)145
42-+-crizotinib-6SDstopped (PD)60
43+-crizotinibgeftinib4-stopped (toxicity)28
45+++crizotinib-4-ongoing15

ID : identification number ; IHC : Immunochemistry ; PD : progressive disease ; SD : stable disease ; PR : partial response ; TKI : tyrosine kinase inhibitor ; RECIST : response evaluation criteria in solid tumor

Figure 3

Duration of treatment with MET inhibitors

(A) Patients treated with a MET inhibitor as a single agent; (B) Patients treated with a MET inhibitor in combination with an EGFR TKI. ID : identification number, Red: progressive disease as best response according to RECIST criteria ; Orange : stable disease as best response according to RECIST criteria ; Green : partial response as best response according to RECIST criteria, White : no tumor response evaluation available ; Arrow indicates that the MET inhibitor therapy is still ongoing.

ID : identification number ; IHC : Immunochemistry ; PD : progressive disease ; SD : stable disease ; PR : partial response ; TKI : tyrosine kinase inhibitor ; RECIST : response evaluation criteria in solid tumor

Duration of treatment with MET inhibitors

(A) Patients treated with a MET inhibitor as a single agent; (B) Patients treated with a MET inhibitor in combination with an EGFR TKI. ID : identification number, Red: progressive disease as best response according to RECIST criteria ; Orange : stable disease as best response according to RECIST criteria ; Green : partial response as best response according to RECIST criteria, White : no tumor response evaluation available ; Arrow indicates that the MET inhibitor therapy is still ongoing. Ten patients received a 3rd generation EGFR TKI (Table 4) mostly osimertinib. Two partial responses were reported among the 5 T790M-positive evaluable patients who were treated following detection of MET overexpression or MET amplification. 3 patients were treated with 3rd generation EGFR TKI before they received a MET inhibitor.
Table 4

Third generation EGFR TKI tumor response

IDMET amplificationIHC MET 3+T790MRe-biopsy performed before 3rd G EFGR TKI therapy3rd G EFGR TKILineRECIST Response3rd G EFGR TKI statusDuration of 3rd G EFGR TKI (days)
5+++osimertinib3PDstopped (PD)48
16-+++other2PRstopped (toxicity)56
18+++osimertinib5PDstopped (PD)80
20-+-+osimertinib5PRstopped (PD)157
22+++osimertinib2PRongoing315
26-+++osimertinib3PDstopped (PD)84
27+++osimertinib4-ongoing15
28++++osimertinib2-ongoing18
45+++-osimertinib3SDstopped (PD)288
46+++-osimertinib4PRongoing277

ID : identification number ; IHC : Immunochemistry ; TKI : tyrosine kinase inhibitor ; RECIST : response evaluation criteria in solid tumor ; 3rd G EGFR TKI : Third Generation EGFRTKI

ID : identification number ; IHC : Immunochemistry ; TKI : tyrosine kinase inhibitor ; RECIST : response evaluation criteria in solid tumor ; 3rd G EGFR TKI : Third Generation EGFRTKI

DISCUSSION

Bypass activation of tyrosine kinase receptors is a well described mechanism of resistance to EGFR TKIs in EGFR-mutated NSCLC. MET-driven resistance has been reported in up to 22% of patients with acquired resistance to EGFR TKIs [9]. Still, although the biological basis of this mechanism of resistance has been extensively studied, there is very little data on the clinical characteristics and outcome of patients with MET-driven acquired resistance to EGFR TKIs. In this multicenter retrospective study, we report for the first time clinical features, response to MET inhibitors and outcome of 42 metastatic EGFR-mutated NSCLC patients with MET amplification or MET overexpression, as assessed on a post-progression re-biopsy. Because of the very low number of patients with MET-driven resistance to EGFR TKIs, we performed a multicentric retrospective study. Therefore, we could not perform a central analysis of RECIST responses, MET FISH, and MET IHC analysis. The absence of MET FISH and MET IHC analysis on the initial biopsy is also challenging. Indeed, we cannot exclude that some patients might have a MET overexpression or a MET amplification before EGFR TKI therapy. Most patients with EGFR exon 19 deletions in our study received a first generation EGFR TKI and were not treated with afatinib. There were no specific clinical characteristics of the patients included in our study but we observed a low rate of objective response to MET inhibitors when used as a monotherapy and a substantial rate of concomitant T790M mutations, which were still partially associated with efficacy of 3rd generation EGFR TKIs and favorable prognosis, even in association with MET overexpression or MET amplification. In our study, MET amplification was defined using the criteria provided by Schildhaus et al. to define high-level MET amplification, i.e. as an average MET gene copy number (GCN) per cell ≥ 6 or a ratio MET/CEP7 ≥ 2 or the presence of MET clusters [15]. Indeed these criteria were already widely used across our pathological centers to define positive MET FISH. However, many other definitions of MET amplification based on FISH have been proposed based on various thresholds for MET/CEP7 ratio or mean MET GNC [21, 23–27]. Unlike the mean MET GNC, the ratio MET/CEP7 is thought to discriminate real amplification from polysomia. Recent data showed that a MET/CEP7 ratio >5 was able to discriminate lung adenocarcinoma with no other driver mutations and was associated with high objective response rate to crizotinib [27, 28]. However, the right definition of a positive FISH that would allow identification of MET gene amplification remains to be determined. The ability to detect MET amplification through next generation sequencing may favor routine screening and harmonization of the definition of MET amplification. In our study, EGFR mutated NSCLC patients with either MET amplification or MET overexpression (MET IHC3+) were included. In lung adenocarcinoma, MET amplification is significantly associated with IHC3+ MET overexpression [16]. In our study, all the patients with a MET amplification who also underwent a MET IHC were scored 3+. MET overexpression, regardless MET amplification status, has been found to induce addiction to the MET pathway, and was recently found in 27.1% of EGFR mutated NSCLC with acquired resistance to EGFR TKI [29] [17]. Moreover, an ongoing clinical trial evaluating the efficacy of combining MET and EGFR TKIs in EGFR-mutated NSCLC patients with MET-driven resistance to EGFR TKIs includes patients with both MET amplification or MET overexpression (NCT01610336). In patients without MET amplification, the cause of MET overexpression at the time of re-biopsy may involve other molecular alterations including MET exon 14 splicing sites mutations which have been reported to be associated with MET overexpression [30] and may be involved in resistance to EGFR TKI [31]. Because of the unavailability of most of the tumor samples, we could not test for other genomic alterations. In our cohort, metastatic EGFR mutated NSCLC with a MET-driven resistance to EGFR TKI did not display specific clinical features compared to those observed in previous studies. Median PPOS (18.5 months) was also in the range of what has been reported in previous studies focusing on patients with acquired resistance to EGFR TKIs (14.3-20 months) [13, 32, 33]. Moreover, although MET GCN alterations and MET overexpression have been associated with poor prognosis in resected NSCLC [34, 35], we did not find poor outcome for the patients included in our study. These findings suggest that the prognostic impact of MET activation might depend on the stage of the disease and on the oncogenic environment. We observed only one objective response out of 12 patients treated with MET inhibitor monotherapy. In preclinical models, a double inhibition of EGFR and MET pathways was required to overcome MET driven resistance to EGFR TKI [9, 36]. Cases of EGFR mutated MET amplified NSCLC responding to combined MET and EGFR TKIs have been reported [18, 19]. This dual inhibition approach is currently evaluated in several phase I/II clinical trials in this setting using various EGFR (gefitinib, erlotinib, EGF816, osimertinib) and MET (capmatinib, volitinib, tepotinib) TKIs (NCT02468661, NCT01610336, NCT02335944, NCT02374645, NCT02143466, NCT01982955). Preliminary results from a phase II study, evaluating the combination of capmatinib and gefitinib in EGFR mutated NSCLC patients who progressed on EGFR TKI, reported an ORR of 19% in patients with MET IHC3+ or MET IHC≥2+ and MET GCN≥5 and raised to 30% in the subgroup of patients with MET GCN≥6 [37]. In our study, 11 patients were T790M positive. Three had both a MET amplification and a T790M mutation on the same sample. The coexistence of these mechanisms of resistance has been previously described [10]. Compared to the T790M negative, the T790M positive patients in our study had a better OS and a trend to a better PPOS. Several studies reported that, amongst patients with EGFR TKI acquired resistance, T790M-positive patients had a better PPOS than T790M-negative patients [13, 32, 38]. However, none of these studies evaluated the impact of concomitant MET amplification and overexpression. Of note, Gou et al. found that patients with a T790M mutation and MET overexpression had a worse PPOS than patients with only MET overexpression or the T790M mutation alone. This discrepancy with our results might be due to the small size of both cohorts, and variations in the characteristics of the study population (higher rate of never smokers and caucasians in our study). We cannot also exclude the influence of confounding factors such as the younger age and the use of 3rd generation EGFR TKI in T790M positive patients. Indeed in our study, 9 T790M-positive patients received a 3rd generation EGFR TKI and 3 partial responses were achieved. Very few data are available regarding the efficacy of 3rd generation TKIs in the context of multiple resistance mechanisms. Our results suggest that 3rd generation TKIs may retain activity against T790M-positive tumors in some patients, even in the presence of MET activation, which may be due to the spatial heterogeneity of resistance mechanisms rather than co-existence of 2 resistance mechanisms in the same tumor cells. Finally, MET-driven resistance to EGFR TKI defines a specific pattern of resistance characterized by low objective response rate to MET TKIs given alone and overlapping with T790M mutations. Even when associated with MET dysregulation, the T790M mutation was still associated with relative efficacy of 3rd generation EGFR TKIs and prolonged survival. Further studies are warranted to define adequate therapeutic strategies for MET-driven resistance to EGFR TKI.

MATERIALS AND METHODS

Patients

We constituted a multicenter retrospective observational cohort of patients identified among 15 French centers. Inclusion criteria were documented diagnosis of metastatic NSCLC, detection of an EGFR mutation on tumor sample at diagnosis, treatment with at least one EGFR TKI and detection of MET overexpression or MET amplification after the time of clinical or radiological progression on EGFR TKI. Post-progression re-biopsy and MET status assessment were routinely performed in participating centers during the study period. Clinical and pathological data were retrospectively collected in each center for all included patients. Best overall response, defined as the best response from the start of treatment until disease progression, was assessed by investigators from available follow-up exams in each center using Response Evaluation Criteria in Solid Tumor (RECIST) v1.1. Crizotinib, gefinitib, and osimertinib were respectively prescribed with the following doses and schedules : 250mg bid, 250mg daily, 80mg daily. The study was approved by a national ethic committee (CEPRO 2016-001).

Histological and molecular analyses

Histological and molecular analyses of formalin-fixed paraffin-embedded (FFPE) samples were prospectively assessed by local pathologists in accredited and quality controlled laboratories, as part of the routine procedure. MET immunochemistry and MET FISH analyses were realized according to locally certified and nationally approved procedures. MET overexpression was defined as a 3+ MET Immunoscore (≥ 50% of tumor cells showing high-intensity staining) on MET immunochemistry using MET monoclonal antibody (clone SP44 Ventana). MET amplification was defined by Fluorescence In Situ Hybridization (FISH) as a mean MET GNC per cell ≥ 6, or a Ratio MET/CEP7 ≥ 2, or the presence of MET clusters [15]. Patients were considered “T790M positive” if an EGFR T790M mutation was detected in post-progression circulating tumor DNA, on the re-biopsy on which MET overexpression or MET amplification was found, or on a tumor sample collected before the re-biopsy.

Statistical analyses

Categorical variables are expressed as frequencies and percentages. Quantitative variables are expressed as medians (range). Normality of distribution was assessed graphically and by using the Shapiro–Wilk test. Bivariate analyses were realized to assess the sub-group comparability (MET amplified vs. MET non-amplified and T790M+ vs. T790M-). Chi-Squared tests or Fisher's exact test (when expected cell frequency <5) were used to study the association between categorical variables and different groups. A Mann-Withney U test was used to compare age, time between EGFR TKI initiation and rebiopsy, and duration of TKI EGFR therapy between groups. We estimated and compared overall survival (OS), post progression overall survival (PPOS) and progression free survival (PFS) between the study groups (MET amplified vs. MET non amplified and T790M+ vs. T790M-) using the Kaplan-Meier Method and log-rank test. OS was measured from the date of metastatic NSCLC diagnosis to the date of death from any cause or last follow-up. The PPOS was measured as the time from EGFR TKI RECIST progression to death from any cause. The PFS was defined as the time from treatment start to disease progression or death from any cause. Objective response rate (ORR) was defined as the percentage of patients with partial or complete response to the indicated treatment. Statistical testing was conducted at the 2-tailed α level of 0.05. Data were analyzed with SAS software version 9.3 (SAS Institute, Cary, NC).
  36 in total

1.  MET amplification, protein expression, and mutations in pulmonary adenocarcinoma.

Authors:  Seongyeol Park; Jaemoon Koh; Dong-Wan Kim; Miso Kim; Bhumsuk Keam; Tae Min Kim; Yoon Kyung Jeon; Doo Hyun Chung; Dae Seog Heo
Journal:  Lung Cancer       Date:  2015-10-27       Impact factor: 5.705

2.  Co-existence of positive MET FISH status with EGFR mutations signifies poor prognosis in lung adenocarcinoma patients.

Authors:  Aya Tanaka; Naoko Sueoka-Aragane; Tomomi Nakamura; Yuji Takeda; Masahiro Mitsuoka; Fumio Yamasaki; Shinichiro Hayashi; Eisaburo Sueoka; Shinya Kimura
Journal:  Lung Cancer       Date:  2011-07-05       Impact factor: 5.705

3.  Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR.

Authors:  Makoto Maemondo; Akira Inoue; Kunihiko Kobayashi; Shunichi Sugawara; Satoshi Oizumi; Hiroshi Isobe; Akihiko Gemma; Masao Harada; Hirohisa Yoshizawa; Ichiro Kinoshita; Yuka Fujita; Shoji Okinaga; Haruto Hirano; Kozo Yoshimori; Toshiyuki Harada; Takashi Ogura; Masahiro Ando; Hitoshi Miyazawa; Tomoaki Tanaka; Yasuo Saijo; Koichi Hagiwara; Satoshi Morita; Toshihiro Nukiwa
Journal:  N Engl J Med       Date:  2010-06-24       Impact factor: 91.245

4.  Rebiopsy of lung cancer patients with acquired resistance to EGFR inhibitors and enhanced detection of the T790M mutation using a locked nucleic acid-based assay.

Authors:  Maria E Arcila; Geoffrey R Oxnard; Khedoudja Nafa; Gregory J Riely; Stephen B Solomon; Maureen F Zakowski; Mark G Kris; William Pao; Vincent A Miller; Marc Ladanyi
Journal:  Clin Cancer Res       Date:  2011-01-19       Impact factor: 12.531

5.  Preexistence and clonal selection of MET amplification in EGFR mutant NSCLC.

Authors:  Alexa B Turke; Kreshnik Zejnullahu; Yi-Long Wu; Youngchul Song; Dora Dias-Santagata; Eugene Lifshits; Luca Toschi; Andrew Rogers; Tony Mok; Lecia Sequist; Neal I Lindeman; Carly Murphy; Sara Akhavanfard; Beow Y Yeap; Yun Xiao; Marzia Capelletti; A John Iafrate; Charles Lee; James G Christensen; Jeffrey A Engelman; Pasi A Jänne
Journal:  Cancer Cell       Date:  2010-01-19       Impact factor: 31.743

6.  Acquired METD1228V Mutation and Resistance to MET Inhibition in Lung Cancer.

Authors:  Magda Bahcall; Taebo Sim; Cloud P Paweletz; Jyoti D Patel; Ryan S Alden; Yanan Kuang; Adrian G Sacher; Nam Doo Kim; Christine A Lydon; Mark M Awad; Michael T Jaklitsch; Lynette M Sholl; Pasi A Jänne; Geoffrey R Oxnard
Journal:  Cancer Discov       Date:  2016-09-30       Impact factor: 39.397

7.  Phase III study of afatinib or cisplatin plus pemetrexed in patients with metastatic lung adenocarcinoma with EGFR mutations.

Authors:  Lecia V Sequist; James Chih-Hsin Yang; Nobuyuki Yamamoto; Kenneth O'Byrne; Vera Hirsh; Tony Mok; Sarayut Lucien Geater; Sergey Orlov; Chun-Ming Tsai; Michael Boyer; Wu-Chou Su; Jaafar Bennouna; Terufumi Kato; Vera Gorbunova; Ki Hyeong Lee; Riyaz Shah; Dan Massey; Victoria Zazulina; Mehdi Shahidi; Martin Schuler
Journal:  J Clin Oncol       Date:  2013-07-01       Impact factor: 44.544

8.  MET gene copy number in non-small cell lung cancer: molecular analysis in a targeted tyrosine kinase inhibitor naïve cohort.

Authors:  Michèle Beau-Faller; Anne-Marie Ruppert; Anne-Claire Voegeli; Agnès Neuville; Nicolas Meyer; Eric Guerin; Michèle Legrain; Bertrand Mennecier; Jean-Marie Wihlm; Gilbert Massard; Elisabeth Quoix; Pierre Oudet; Marie P Gaub
Journal:  J Thorac Oncol       Date:  2008-04       Impact factor: 15.609

9.  Novel mutant-selective EGFR kinase inhibitors against EGFR T790M.

Authors:  Wenjun Zhou; Dalia Ercan; Liang Chen; Cai-Hong Yun; Danan Li; Marzia Capelletti; Alexis B Cortot; Lucian Chirieac; Roxana E Iacob; Robert Padera; John R Engen; Kwok-Kin Wong; Michael J Eck; Nathanael S Gray; Pasi A Jänne
Journal:  Nature       Date:  2009-12-24       Impact factor: 49.962

10.  MET FISH-positive status predicts short progression-free survival and overall survival after gefitinib treatment in lung adenocarcinoma with EGFR mutation.

Authors:  Rintaro Noro; Masahiro Seike; Fenfei Zou; Chie Soeno; Kuniko Matsuda; Teppei Sugano; Nobuhiko Nishijima; Masaru Matsumoto; Kazuhiro Kitamura; Seiji Kosaihira; Yuji Minegishi; Akinobu Yoshimura; Kaoru Kubota; Akihiko Gemma
Journal:  BMC Cancer       Date:  2015-02-06       Impact factor: 4.430

View more
  7 in total

Review 1.  Therapeutic strategies in METex14 skipping mutated non-small cell lung cancer.

Authors:  Leylah M Drusbosky; Richa Dawar; Estelamari Rodriguez; Chukwuemeka V Ikpeazu
Journal:  J Hematol Oncol       Date:  2021-08-23       Impact factor: 17.388

Review 2.  Cell signaling and cancer: a mechanistic insight into drug resistance.

Authors:  Munmun Panda; Bijesh K Biswal
Journal:  Mol Biol Rep       Date:  2019-07-06       Impact factor: 2.316

Review 3.  When the MET receptor kicks in to resist targeted therapies.

Authors:  Marie Fernandes; Philippe Jamme; Alexis B Cortot; Zoulika Kherrouche; David Tulasne
Journal:  Oncogene       Date:  2021-05-24       Impact factor: 9.867

4.  Molecular mechanism of acquired drug resistance in the EGFR-TKI resistant cell line HCC827-TR.

Authors:  Tao Yu; Qian Xia; Ting Gong; Jing Wang; DianSheng Zhong
Journal:  Thorac Cancer       Date:  2020-03-12       Impact factor: 3.500

5.  A Large Real-World Study on the Effectiveness of the Combined Inhibition of EGFR and MET in EGFR-Mutant Non-Small-Cell Lung Cancer After Development of EGFR-TKI Resistance.

Authors:  Li Liu; Jingjing Qu; Jianfu Heng; Chunhua Zhou; Yi Xiong; Haiyan Yang; Wenjuan Jiang; Liang Zeng; Songlin Zhu; Yongchang Zhang; Jiarong Tan; Chengping Hu; Pengbo Deng; Nong Yang
Journal:  Front Oncol       Date:  2021-10-01       Impact factor: 6.244

Review 6.  Bi-specific and tri-specific antibodies- the next big thing in solid tumor therapeutics.

Authors:  Karie Runcie; Daniel R Budman; Veena John; Nagashree Seetharamu
Journal:  Mol Med       Date:  2018-09-24       Impact factor: 6.354

7.  Comprehensive serial biobanking in advanced NSCLC: feasibility, challenges and perspectives.

Authors:  Sabine Wessels; Thomas Muley; Petros Christopoulos; Michael Meister; Ingrid Heinzmann-Groth; Arne Warth; Esther Herpel; Simone Hummler; Ursula Klingmüller; Jonas Kuon; Claus-Peter Heussel; Ralf Eberhardt; Felix J F Herth; Hauke Winter; Helge Bischoff; Albrecht Stenzinger; Martin Reck; Rudolf Maria Huber; Michael Thomas; Marc A Schneider
Journal:  Transl Lung Cancer Res       Date:  2020-08
  7 in total

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