Background
Targeted therapies constitute promising strategies in the personalized treatment of cancer. Increasing knowledge of expression patterns and molecular pathophysiology led to improved outcomes of patients with non-small cell lung cancer (NSCLC). The Mesenchymal Epithelial Transition factor (MET) receptor tyrosine kinase (RTK) and its ligand hepatocyte growth factor/scatter factor (HGF/SF) are predominantly involved in epithelial-to-mesenchymal transition (EMT) [
1] and tissue regeneration [
2]. Binding of HGF induces MET dimerization that induces tyrosine kinase activation by phosphorylation of the tyrosine residues Y1230, Y1234 and Y1235, which then activates various downstream signaling cascades [
3]. Activated MET receptor signaling promotes tumor angiogenesis, tumor cell invasion and metastasis [
4,
5]. This constitutive activation is thought to be due to MET overexpression, gene amplification and mutations within the tyrosine kinase domain and correlates with poor clinical outcome in patients with lung cancer [
3,
6‐
10].
Several MET-targeting inhibitors have already shown promising data in clinical trials [
11‐
13]. Most of them are tyrosine kinase inhibitors followed by antagonistic antibodies [
14,
15]. Onartuzumab, a recombinant, fully humanized monovalent, monoclonal antibody binds to the extracellular domain of MET, thus blocking binding of HGF and thereby the activation [
16,
17]. Spigel et al. conducted a randomized phase II trial of onartuzumab in combination with erlotinib in patients with advanced NSCLC [
18]. Onartuzumab plus erlotinib was associated with improved progression-free survival (PFS) and overall survival (OS) in the MET-positive population. Nevertheless, the phase III clinical study for this antibody was stopped because the results of phase II could not be confirmed. The onartuzumab/erlotinib combo did not show an overall survival benefit for the patients, even in the high expressers of MET [
19].
Tivantinib, a c-MET selective, small molecule inhibits MET phosphorylation leading to reduced capacity of invasion, proliferation and metastasis [
20,
21]. Results from the MARQUEE trial corroborate an OS benefit for patients with locally advanced or metastatic non-squamous MET-high lung cancer who received chemotherapy prior to treatment with tivantinib in combination with erlotinib. Unfortunately, the primary end point or improved OS for the whole group was not met.
Crizotinib, a non-selective MET inhibitor targeting c-MET, ALK and ROS1 exhibits its antitumoral effect in c-MET, ALK-positive and ROS positive patients [
11,
22,
23] demonstrating the need of MET determination. The expression of MET was not evaluated in these studies. In addition, concurrent inhibition of VEGFR2 and MET is discussed for anti-angiogenesis therapy, also for NSCLC [
24].
MET amplification leads to gefitinib resistance in lung cancer patients lacking the point mutation T790M in exon 20 of EGFR [
6]. Bean et al. have also shown that MET amplification occurs in human lung adenocarcinomas independently of T790M with resistance to gefitinib or erlotinib, emphasizing the relevant therapeutic target of MET for patients with acquired resistance to EGFR kinase inhibitors. Combination of EGFR and MET inhibitory molecules may overcome EGFR TKI resistance in patients with NSCLC [
6]. MET as target of several multi TKIs, together with the prognostic value of MET expression demonstrating the relevance to evaluate MET on several levels. The challenge is to identify patient subgroups who respond to MET inhibitors. For that reason the main goal is to establish a reliable predictive assay for the determination of the MET status.
For that purpose, we investigated in a retrospective study, MET expression on protein level by IHC using antibody clone SP44 in 222 formalin fixed paraffin embedded (FFPE) - and HOPE (HEPES-Glutamic Acid Buffer Mediated Organic Solvent Protection Effect) fixed - NSCLC tissues. Because not only expression but also activation of MET is essential for tumor progression, we also analyzed the phosphorylation status of the receptor by IHC with two phosphorylation specific antibodies. To obtain more insights into the relation between MET expression, phosphorylation and amplification, MET amplification was assessed by FISH analysis. For a limited number of tumor samples, MET expression was also evaluated on mRNA level and compared with MET expression evaluated by Western Blot analysis.
Finally, we compared MET- and EGFR-expression within these tumor tissues to investigate, whether a correlation exists between both biomarkers. The aim of the present study was to assess, if the expression and amplification is correlated with the activation status of the MET receptor, because we hypothesize, that not only expression and amplification but phosphorylation can be a relevant marker to select patients for MET specific therapies.
Methods
Patients and tissues
A total of 222 lung tumor specimens from patients with NSCLC were obtained from the Biomaterial Bank North after resection from the surgical department of LungenClinic Grosshansdorf (Table
1), including 110 cases of adenocarcinoma (ADC), 86 cases of squamous cell carcinoma (SCC), 12 cases of large cell carcinoma (LCC), 6 cases of carcinoids and 2 cases of adeno-squamous carcinoma. This retrospective study was performed in compliance with the ethical committee of the University of Lübeck (reference number 12–220). All tumor samples were histologically classified according to the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary classification of lung adenocarcinoma 2011 [
25] and WHO guidelines 2010 [
26]. The lung cancer tissue samples were fixed both with formalin and in parallel using the alternative HOPE technique and were subsequently embedded in paraffin [
27]. Established clinical and histological factors of all tested patients were included in this study (patient age, gender, histology, TNM classification, smoking status; Table
1).
Table 1
Characteristics of 222 patients with Non-small cell lung cancer
Age | ≥65 | 154 (69.4 %) |
| <65 | 68 (30.6 %) |
Gender | Male | 142 (63.9 %) |
| Female | 80 (36.1 %) |
aSmoking status | Current | 67 (30.1 %) |
| Former | 101 (45.5 %) |
| Never | 23 (10.4 %) |
| unknown | 31 (14 %) |
aAsbestos contact | Present | 17 (7.7 %) |
| Absent | 49 (22.1 %) |
aCOPD | Present | 43 (15.3 %) |
| Absent | 5 (2.3 %) |
Histologic type | ADC | 110 (49.5 %) |
| SCC | 94 (42.3 %) |
| LCC | 9 (4.1 %) |
| Other | 9 (4.1 %) |
Tumor size | T1 | 43 (19.4 %) |
| T2 | 125 (56.3 %) |
| T3 | 32 (14,4 %) |
| T4 | 22 (9.9 %) |
Lymph node status | N0 | 106 (47.7 %) |
| N1 | 52 (23.4 %) |
| N2 | 47 (21.2 %) |
| N3 | 17 (7.7 %) |
Stage | I | 72 (32.4 %) |
| II | 61 (27.5 %) |
| III | 79 (35.6 %) |
| IV | 10 (4.5 %) |
Tissue microarray (TMAs) construction
Specimens were arranged on TMAs for enhanced comparability of immunohistochemical stainings as previously described [
28]. Appropriate formalin and HOPE-fixed -paraffin embedded A549 cell line known to express c-MET basal, was used as control. Representative tumor punches (2 mm in diameter) of two core biopsies were taken from two viable parts of each tumor block using the Beecher manual arrayer (Beecher instruments, Alpha, Metrix Biotech). This approach should enhance representative analyzing of immunohistochemical stainings and FISH analyzes.
Immunohistochemistry (IHC)
MET protein expression was assessed by IHC on 2 μm thick deparaffinized TMA sections, using rabbit anti-human c-Met monoclonal antibody (clone SP44) (Spring Biosciences, Pleasanton, CA, USA) directed against the synthetic peptide derived from C-terminus of human c-Met protein displaying membranous and/or cytoplasmic epitope. Staining procedures were conducted according to manufacturer’s protocol in a final 1:1000 dilution.
Phosphorylated MET-expression was assessed by two different primary antibodies purchased from Cell Signaling (Danvers, MA). Phospho-Met (Y1234/1235) (D26) and Phospho-Met (Y1349) (130H2) in a final dilution of 1:100.
HOPE-fixed, paraffin-embedded sections were deparaffinized by xylene incubation (two times 10 min) before SP44 was applied for 30 min at room temperature. Endogenous peroxidases were blocked by incubation with 3 % H2O2 for 10 min. Negative controls omitting the primary antibody were always included.
Formalin-fixed samples from the same tumors were deparaffinized following standard procedure. Antigen retrieval was achieved by boiling in citrate buffer (10 mM, pH 6.0) for 10 min (Merck KGaA, Darmstadt, Germany) with subsequent cooling at room temperature for 20 min. Antigen detection was carried out with DAB substrate kit (DAB chromogen and DAB substrate), used for 15 min to visualize specific binding. Sections were counterstained using Meyer’s hemalum and mounted with Pertex (Medite GmbH, Burgdorf, Germany) for further evaluation.
Evaluation of Met IHC staining
Two observers quantified staining intensities. Samples were evaluated with the MET scoring algorithm as previously described [
18]. MET positivity was defined when scored as 2+ and 3+. 3+ was selected if ≥ 50 % of tumor cells stained with strong intensity; 2+ was defined if ≥ 50 % of tumor cells showed moderate or higher staining but < 50 % with strong intensity; 1+ if ≥ 50 % of tumor cells with weak or higher staining but < 50 % with moderate or higher intensity; 0 was defined if no staining or <50 % of tumor cells with any intensity.
Phosphorylated MET expression was evaluated according to the intensity of cytoplasmic staining (no staining = 0, weak staining = 1, moderate staining = 2, strong staining = 3) and the percentage of stained tumor cells (0 % = 0, 1-10 % = 1, 11-50 % = 2, >50 % = 3). If ≥ 50 % of tumor cells showed staining intensity ≥ 2, tumor samples were categorized as positive in this study.
EGFR scoring methodology
EGFR expression is considered as positive, if ≥10 % of the tumor cells show membranous staining of any intensity using x10 and x20 magnification assessed by Dako EGFR PharmDx data sheet.
Fluorescence in situ hybridization
c-MET gene copy numbers were assessed by fluorescence in situ hybridization (FISH) using ZytoLight SPEC MET/CEN7 Dual Color Probe (Zytovision, Bremerhafen, Germany). Before hybridization, sections were deparaffinized, dehydrated and immersed in citrate buffer (Merck KGaA, Darmstadt, Germany) pH 6 at 98 °C for 15 min, and subsequently washed twice in distilled water for 2 min. The sections were air dried and pretreated with pepsin for 5 min before denatured for 10 min at 75 °C. After hybridization at 37 °C for 20 h, slides were washed and counterstained with 1.5 μg/ml 4’,6’-diamidino-2-phenylindole (DAPI) mounting medium (Vectashield, Vector laboratories, Burlingame, CA) and coverslips were fixed with nail polish.
Analysis of FISH signals was performed on an epifluorescence microscope Nikon Eclipse 80i H550L (Nikon) with interference filters (AHF Analysentechnik AG, Tübingen, Germany).
At least 50 non-overlapping interphase nuclei of tumor cells were counted per core. The nuclei were selected using the DAPI filter under high magnification (x600). For each probe, the numbers of c-MET and CEN7 per nuclei were separately scored and mean cMET/CEN7 ratio was determined. FISH MET gene amplification was defined as FISH positive, when
a)
MET/CEP7 ratio was > 2.2 or
b)
small gene clusters (≥4 copies) independent of the MET to CEP 7 ratio
These analysis criteria were adapted to previous publications for the evaluation of MET amplification [
7].
Increased MET gene copy number (GCN) >3 of Chromosome 7 and MET-locus was defined as polysomy.
Evaluation was performed independently by two scientists well-vised in FISH analysis.
HOPE-fixed, paraffin-embedded specimens were deparaffinized as previously described by Olert et al. [
27]. Protein extraction was performed using lysis buffer (7 M urea, 2 M thiourea, 100 mM dithiothreitol (DTT), 4 % CHAPS (3-[3-Cholamidopropyl)-dimethyl-ammonio]-1-propansulfonat), 2 % IGEPAL, 1 % Triton X, 5 mM PMSF, 0.5 mM EDTA, 40 mM Tris). Protein concentration was determined by Bradford with Coomassie (Bradford) Protein Assay Kit (Pierce, Rockford, IL, USA). Forty μg of whole protein lysate was separated by gel electrophoresis and analyzed by Western Blot using nitrocellulose membrane using iblot gel transfer system (Invitrogen, Germany). After blocking with 5 % nonfat dry milk (1 h, ambient temperature), membranes were incubated with Met-specific antibody clone SP44 (1:1000) in TBS-0.05 % Tween overnight (4 °C). The following day, the membrane was washed three times in TBS-0.05 % Tween before adding secondary antibody anti rabbit HRP (Cell Signaling) for 1 h at room temperature. Development was achieved using ECL solution and exposure to film. Intensities of appropriate MET specific bands were analyzed by band leader.
Quantitative real-time PCR of MET mRNA
Total RNA was isolated from HOPE-fixed tissue samples as described previously [
29] using RNeasy minikit (Qiagen) according to the manufactures protocol. RNA integrity and concentration were determined with the Agilent RNA 6000 Nano Assay Bioanalyzer (Agilent, Böblingen, Germany). 1 μg of RNA was transcribed into cDNA with the Maxima first strand cDNA synthesis kit for RT-qPCR (Thermos Scientific). Genomic DNA was digested with DNase I within cDNA synthesis. RPL32 was used to normalize differences in input cDNA amounts. Intron spanning primers were designed with the Universal Probe Library (Roche Applied Sciences, Germany). Primers were used as follows: Forward primer 5’-TGAAATTCATCCAACCAAATCTT-3’ and reverse primer 5’- AATAGAAAACTGACAATGTTGAGAGG-3’ (probe no. 31) for MET and forward primer 5’- CCACCGTCCCTTCTCTCTT-3’ and reverse primer 5’- GGGCTTCACAAGGGGTCT-3’ (probe no. 10) for RPL32. Amplification was performed with Light Cycler 480II from Roche Diagnostics. After initial denaturation at 95 °C for 5 min, amplification protocol consisted of 45 cycles (10 s at 95 °C and 30 s at 60 °C) using Light Cycler 2x Probe Master Mix, 0.4 μM oligonucleotides and 0.2uM 6-carboxyfluorescein (FAM)-labeled hydrolysis probes (Roche Applied Science) in a final volume of 10 μl. Standard curve was made from serial dilution of template cDNA. Expression levels were calculated after normalization with RPL32.
Statistical analysis
All statistical analysis in this study were performed with Spearman’s rank nonparametric correlation test using Prism 6 software. All reported p values are two sided (GraphPad Prism version 6.0 Software, San Diego, CA).
Discussion
Personalized therapies will only be effective if target molecules are exactly determined or quantified. MET is currently one of the target proteins that are utilized for several anticancer therapies in patients with NSCLC [
14,
15,
31]. State of the art methods for the determination of MET have been previously conducted by IHC and FISH-analysis. Within the present study, we show for the first time combined analysis of MET expression on protein-, mRNA-, and DNA-level together with the investigation of activated MET RTK by immunohistochemistry. We demonostrated that in resected specimens no correlation exists between MET-expression and -phosphorylation. In fact, activated MET is a potential target for small molecule tyrosine kinase inhibitors that already have entered clinical trials.
Dziadziuszko et al. [
32] demonstrated a significant correlation between MET gene copy number determined by SISH and protein expression evaluated by IHC. In the METLung clinical trial [
18] of Spiegel et al., IHC was assessed using antibody clone SP44 for the determination of MET-expression. Patients with 2+ or 3+ MET expression of their tumours were included. They were stratified for the level of MET expression. There was no improvement in PFS or OS in the Intention-To-Treat (ITT) population. Expression of c-MET was associated with worse outcome. Apparently, the addition of onartuzumab to erlotinib in MET-positive patients abrogates the negative prognostic impact. But, without a diagnostic hypothesis, the results obtained in the (ITT) population lead to interrupt the development of onartuzumab. One reason for the weak responsiveness might be that not only the expression level of c-met is relevant, but also the status of receptor signaling.
In the trial of Spigel et al. [
33] 52 % of patients were scored as MET positive compared to 25 % in the study of Dziadziuszko et al. [
32] and 21.1 % of FFPE tumor tissue versus 36.8 % HOPE fixed tumor samples in our population. The high number of MET IHC positivity is estimated to the fact, that in the METLung trial patients with advanced NSCLC were analyzed. The difference between FFPE and HOPE fixed tumor samples might be explained by the assumption that HOPE fixed tissues generally reflect a more de facto protein expression as a consequence of improved preservation of antigenicity [
34]. Nevertheless, a correlation between c-Met expression of FFPE and HOPE-fixed samples was shown. The intersection of FFPE- and HOPE fixed tissues accounted 13.9 %, demonstrating, that the majority of FFPE tissues is included in the HOPE-fixed c-MET positive determined group of samples. We did not observe any correlation with the clinicopathological status of the patients, even not with the histologic types and stage, independently of the fixation method.
There are many studies evaluating the expression level of c-MET, but only few that investigated phosphorylated c-MET in human cancer tissues. Whether MET-expression is correlated with its phosphorylation status in NSCLC tissue, still remains unclear. Recently, in the case of gastric cancer, Inoue et al. [
35] have shown, that expression of c-MET and its phosphorylation are not always correlated. Whereas, Nakamura et al. [
36], observed overexpression of c-MET in 74.6 % of 130 surgically resected ADC, phosphorylation of Y1235 was detected in 21.5 %. In addition, phosphorylated c-MET was correlated with high levels c-MET expression (P = 0.0303) [
36].
In our study, MET phosphorylation at Y1234/1235 was detected in 14 % of the investigated NSCLC tumor samples, phosphorylation of Y1349 was observed in 17.7 %. No association between MET expression and phosphorylation was found. In contrast to the study of Nakamura et al., differences might be due to distinct statistical analysis. Nakamura et al., determined association with chi-square test, whereas in our study, correlation was computed with spearman rank correlation. Another reason could be the application of different antibody clones for activated MET Y1234/1235 compared to the study of Nakamura et al. phosphorylation at [Y1349] has not been investigated by Nakamura et al. [
36].
Unfortunately, association analysis between the expression and phosphorylation of MET with clinical characteristics of the patients was not possible, because we do not know anything about course of disease, e.g. disease progression or treatment with TKIs.
Several studies have already been addressed to evaluate the MET amplification status [
7,
32,
37] by FISH. But, previous studies used different criteria to define MET amplification [
7,
37,
38] in NSCLC. MET amplification has been detected in up to ~5 % [
36,
39,
40], whereas an increased MET gene copy number was counted in ~20 % of patients with NSCLC by PCR based technique [
37,
41‐
43]. Inconsistence might be due to the genetic alterations: gene amplification and polysomy. Bean et al. determined MET gene amplification in 3 % of untreated patients [
37]. Cappuzzo et al. observed true gene amplification in 4.1 % of 447 NSCLC patients [
7]. In our study, frequency of met gene amplification is 3.7 % matching with the results of both referred reports given [
7,
37]. Polysomy was detected in 2.3 % of the investigated tumor samples. Correlation of MET gene amplification also including polysomies showed no association with MET protein expression. These results are contrary to the study of Dziadziuszko et al., who found significant correlation between MET gene copy number and MET protein expression [
32]. One reason for that discrepancy could be due to different IHC scoring systems, Dziadziuszko et al. did the evaluation of IHC by using the H-score assessment. Another difference to our study is the use of SISH technology by Dziadziuszko et al. compared to the FISH technique we were conducting. Quantification of MET by IHC, western blot analysis and real time PCR was performed for a subset of NSCLC tumor samples to figure out an idea of whether there is any connection between these three quantification methods. Strong correlation was observed between IHC evaluation of MET protein expression and western blot analysis. Apparently, no clear relationship exists between the expression on mRNA - and protein level. Expression of MET on mRNA level seems to be less pronounced than on protein level (Fig.
5). These differences could be explained by posttranslational modifications or degradation.
Unfortunately, we have almost no data about the therapeutic management and the course of disease.
Finally, we have shown that there is a tendency of association between MET and EGFR expression. Almost tumor samples expressing MET are also positive for EGFR expression. Cross-talk between MET and EGFR in NSCLC has been previously shown by Acunzo et al. [
44]. These data are relevant to interpret the results of Benedettini et al. [
45]. In this study, MET protein expression and phosphorylation have been associated with primary resistance to EGFR-TKIs in patients with NSCLC. Also Bean and colleagues observed MET amplification in 21 % of patients with acquired resistance to EGFR-TKIs demonstrating the crosstalk between both receptor signaling pathways [
37]. Thus, there could be a direct relationship between co-expression of MET and EGFR and the responsiveness to EGFR-and or MET-targeting TKI. Data are published showing that EGFR signaling is sufficient to induce the phosphorylation of MET [
46].
Conclusion
Our study depicts, that definition of MET positive signaling together with MET-positivity might be required to predict the benefit of MET targeting therapies. We hypothesize that not MET expression is crucial for efficacy of MET inhibitory molecules but the evaluation of the activated RTK by determination of the phosphorylation status of MET is more important. Phosphorylation and thereby activation can also occur if MET is not overexpressed; due to mutation or the activation of MET by secreted HGF.
In conclusion, investigation just of one receptor independently of the quantification method might be extended to other RTKs, maybe the focus should not be only on the expression level of RTKs, but on the determination of the activation status.
The results of this study might have consequential clinical implication for therapeutic administration of MET specific drugs, in particular for MET targeting TKIs, namely, that not the expression alone might be of therapeutical relevance, but also the determination of the phosphorylation status.
Competing interests
We declare that we have no competing interests.
Authors’ contributions
IW carried out the analysis of experimental part, performed the statistical analysis and drafted the manuscript. BS carried out the FISH analysis. RG provided data of EGFR expression, was involved in creating the TMAs used for study and helped to draft the manuscript. FS, JM, DJ AW and EV were responsible for the pathological aspects and helped to draft the manuscript. CK was responsible for surgical aspects of the study and was involved in finalizing the manuscript. NR helped to draft the manuscript. RH and MT participated in the design of this study and helped to draft the manuscript. PZ and KR took care of pulmonological aspects and were involved finalizing the manuscript. MR and TG conceived of the study and helped to draft the manuscript. All authors approved the final manuscript.
M Reck and T Goldmann shared senior authorship.