Annals of Oncology Advance Access published online on May 7, 2008
Annals of Oncology, doi:10.1093/annonc/mdn240
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Role of cMET expression in non-small-cell lung cancer patients treated with EGFR tyrosine kinase inhibitors
1 Department of Medical Oncology and Hematology, Istituto Clinico Humanitas, Rozzano, Milan, Italy
2 Department of Medical Oncology, VU University Medical Center, Amsterdam, The Netherlands
3 Department of Human Pathology, Istituto Clinico Humanitas, Rozzano, Milan and University of Milan Medical School, Milan, Italy
4 Department of Medicine/Medical Oncology, University of Colorado Cancer Center, Aurora, CO, USA
5 Division of Molecular Oncology, Institute for Cancer Research and Treatment, University of Torino Medical School, Candiolo, Turin, Italy
* Correspondence to: Dr G. Giaccone, Clinical Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Drive Building 10, Room 12 N226, Bethesda, MD 20892-1906, USA. Tel: +1-301-4023415; Fax: +1-301-4020172; E-mail: giacconeg{at}mail.nih.gov
| Abstract |
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Background: Approximately 10% of unselected non-small-cell lung cancer (NSCLC) patients responded to the epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) treatment. However, resistance mechanisms are not well understood. We evaluated several potential biological markers of intrinsic EGFR-TKIs-resistance in NSCLC.
Materials and methods: pAKT, pERK, cSRC, E-cadherin, cMET[pY1003], cMET[pY1230/1234/1235], and cMET[pY1349] immunohistochemistry, cMET FISH analysis, and EGFR-, KRAS-, and cMET mutation analysis were carried out on tumor samples from 51 gefitinib-treated NSCLC patients. Biological parameters and survival end points were compared by univariate and multivariate analyses. cMET expression was also investigated in two additional series of patients. The in vitro antiproliferative activity of gefitinib alone or in combination with hepatocyte growth factor and the cMET antibody DN-30 was assessed in NSCLC cells.
Results: EGFR19 deletion and pAKT expression were significantly associated with response (P < 0.0001) and longer time to progression (TTP) (P = 0.007), respectively. Strong cMET[pY1003] membrane immunoreactivity was expressed in 6% of 149 tumors analyzed and was significantly associated with progressive disease (P = 0.019) and shorter TTP (P = 0.041). In vitro, the DN-30 combination synergistically (CI < 1) enhanced gefitinib-induced growth inhibition in all cMET[pY1003]-expressing cell lines studied.
Conclusions: Activated cMET[pY1003] appears to be a marker of primary gefitinib resistance in NSCLC patients. cMET may be a target in treatment of NSCLC.
activated cMET, gefitinib resistance, multitarget therapy, NSCLC
| introduction |
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The epidermal growth factor tyrosine kinase inhibitors (EGFR-TKIs), gefitinib (Iressa, AstraZeneca, Macclesfield, UK) and erlotinib (Tarceva; F. Hoffmann-La Roche, Basel, Switzerland), have demonstrated activity in
10% of unselected non-small-cell lung cancer (NSCLC) patients. Several clinical and biological features have been shown to be associated to benefit from EGFR-TKIs and some biological factors have been associated with resistance. The EGFR20-T790M mutation is mainly associated with secondary resistance to EGFR-TKIs in NSCLC [1–3], whereas KRAS mutations are associated with primary resistance [4, 5]. Persistent concomitant activity of the ERK and AKT kinase pathways also contributes to resistance to EGFR-TKIs in NSCLC cells [6, 7]. Furthermore, SRC activation has been shown to induce gefitinib resistance by modulation of both AKT and ERK signaling pathways in human gallbladder adenocarcinoma cells [8], and oncogenic SRC and RAS proteins may induce the epithelial–mesenchymal transition (EMT) that is associated with loss of E-cadherin complexes at cell–cell adhesions and, consequently, with an increased invasive and metastatic potential [9]. A restored E-cadherin expression increased EGFR-TKIs sensitivity in lung cancer cells [10], while NSCLC patients with a strong E-cadherin staining had a significantly longer time to progression (TTP) and a trend toward longer survival with erlotinib/chemotherapy treatment versus chemotherapy alone [11]. The cMET tyrosine kinase receptor, normally expressed by epithelial cells, is overexpressed and amplified in a variety of human tumors, including NSCLC [12–15]. cMET stimulation induces specific phosphorylation of several tyrosine residues (Y1003-Y1313-Y1230/1234/1235-Y1349-Y1365), which, in turn, activate multiple downstream signaling pathways, including the RAS/ERK, PI3K/AKT, and cSRC kinase pathways [16]. Through SRC activation, cMET is considered an EMT promoter [16]. High levels of hepatocyte growth factor (HGF) (the cMET ligand) and intratumoral cMET expression have been associated with a more aggressive biology and a worse prognosis in NSCLC [17]. HGF/cMET pathway alterations may confer a substantial growth advantage and invasive potential to NSCLC cells. In addition, recent studies have demonstrated that targeted cMET inhibition by different therapeutic strategies, including small interfering RNA, small molecules [15], and specific antibodies [18], leads to decreased NSCLC cell growth and viability. Engelman et al. [19] reported that cMET amplification induced resistance to gefitinib in a gefitinib-sensitive lung cancer cell line. Moreover, cMET inhibition with a cMET tyrosine kinase inhibitor (PHA-665,752) restored gefitinib sensitivity.
The aim of this study was to investigate tumor samples of EGFR-TKI-treated NSCLC patients for potential biological markers of intrinsic EGFR-TKI resistance, especially related to EMT. Given the significant association observed between strong cMET[pY1003] membrane staining and progressive disease (PD) and shorter TTP, we also evaluated the effect of the specific cMET antibody DN-30 combined with gefitinib in a panel of NSCLC cells.
| materials and methods |
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patient populations
We evaluated 51 NSCLC patients treated within the expanded access study of gefitinib at Humanitas Clinical Institute (Rozzano, Milan, Italy). The protocol was approved by the institutional Medical Ethical Committee. Written informed consent was obtained from each patient. Patients received gefitinib 250 mg/day orally and were evaluated for response every 2 months according to the response evaluation criteria in solid tumors criteria [20]. To better assess the incidence of strong cMET[pY1003] expression in a larger NSCLC population, we also evaluated the cMET[pY1003] expression in tumors from two additional series treated at the Vrije Universiteit Medical Center (Amsterdam, The Netherlands): 27 advanced NSCLC patients treated with gefitinib or erlotinib and 71 radically resected NSCLC patients.
tissue microarray construction
Paraffin-embedded tumor specimens of the first series of 51 patients were collected. A pathologist selected areas for 1-mm2 punches from tumor cores, tumor borders, and normal tissue to include in recipient tissue array block using a specific instrument (Beecher Instruments, Sun Prairie, WI).
immunohistochemical staining
Tissue microarray sections were stained with antibodies against pAKT (Ser473; Cell Signaling Technology, Danvers, MA, dilution 1 : 150), pERK (P-p44/42Mapk-Thr202/Tyr204; Cell Signaling Technology, dilution 1 : 100), E-cadherin (DAKO, Glostrup, Denmark, dilution 1 : 200), and SRC (gift from AstraZeneca, Clone 28, dilution 1 : 600) according to the manufacturers protocols. cMET activation was determined with three different cMET antibodies ([pY1003], dilution 1 : 1000; [pY1230/1234/1235], dilution 1 : 1000; [pY1349], dilution 1 : 1500; BioSource International, Inc., Camarillo, CA) evaluating the phosphoepitopes expression that characterizes NSCLC-activated cMET [15]. At present, there are no validated scoring systems for interpreting immunohistochemical staining for pAKT, pERK, E-cadherin, SRC, or pMET. Since activation of AKT by phosphorylation results in its translocation from the cytoplasm to the nucleus, samples were considered pAKT positive if nuclear staining was present [21, 22]; for pERK, we used a system on the basis of the staining intensity as previously described [23]; the same scoring system was carried out for cytoplasm SRC expression, while for E-cadherin and pMET, we used a scoring system on the basis of the membrane staining intensity [11, 15]; samples were considered pMET positive if membrane staining was strong (score 3+) (Figure 1).
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FISH analysis
A homebrew MET FISH probe developed using the bronchioloalveolar carcinoma (BAC) clone RP11-95I20 (CHORI, Oakland, CA) was used for this study. DNA from single colonies from the BAC clone was confirmed to encompass the MET gene sequences by PCR with two sets of primers for better specificity (MET5'-end: forward-CCAGTCAGGCCGCGTTGTTTATTT, reverse-AGTTATCATTTCCCAAGTGCCAGG; MET3'-end: forward-TGTCCCGGATATCAGCGATCTTCT, reverse-AAGCCTCTGGTTCTGATGCTCTGT).
The MET-DNA was labeled with SpectrumRed-conjugated deoxi-uridin-triphosphates by nick translation using the Vysis Nick Translation Kit (Abbott Molecular, Des Plaines, IL) and ethanol precipitated using herring sperm DNA (1 : 50) as carrier and human Cot-1 DNA for blocking of repetitive sequences. The DNA pellet was diluted in hybridization mix (50% formamide/10% dextran sulphate/2X SSC). The final MET/CEP7 probe set was prepared with the homebrew SR-MET and CEP7 labeled in SpectrumGreen (Abbott Molecular).
The specimens were classified according to the number of signals in the majority of cells in one of four FISH ranks [rank 1: low number of MET signals per cell (one to three copies); rank 2: intermediate number of MET signals per cell (two to four copies); rank 3: high number of MET signals per cell (two to six or seven copies); rank 4: gene amplification (small cluster of MET signals)]. FISH was considered positive at ranks 3 and 4.
mutation analysis
Total genomic DNA was isolated using the QIAamp DNA extraction kit (Qiagen, Venlo, The Netherlands). Nested PCR to amplify EGFR (exons 18–21) and KRAS (exons 1, 2) were carried out as previously described [4, 8]. cMET mutation analysis was carried out by direct sequencing, using the following primer sets for cMET exons 14 and 15 (juxtamembrane domain): hu-cMET-ex14F, 5'-CTTTAACAAGCTCTTTCTTTCT-3'; hu-cMET-ex14R 5'-TGTATAGGTATTTCTCAGAA-3'; hu-cMET-ex15F 5'-TTGTTCTTTAATAATTTTC-3'; hu-cMET-ex15F 5'-GAGTCGAAAAACAATTTATGCT-3'. Sequencing of PCR products was carried out as previously described [24].
lung cancer cell lines and culture conditions
Cell lines were purchased from the American Type Culture Collection (Manassas, VA) and maintained as previously described [23]. The human NSCLC cell lines NCI-H460 (H460), NCI-H1703 (H1703), NCI-H292 (H292), NCI-H1650 (H1650), NCI-H322 (H322), NCI-H3255 (H3255) and NCI-H1975 (H1975) and the SCLC cell line NCI-H69 (H69) were cultured in RPMI-1640, while A549, SW1573, Calu-1, and Calu-6 were cultured in DMEM as previously described [23].
western blot
In all, 1 x 106 cells were plated, grown, and stimulated with 40 ng/ml HGF (Sigma Chemical Co., Zwijndrecht, The Netherlands) as previously described [15]. The whole-cell protein extracts were transferred to nitrocellulose membranes that were incubated overnight at 4°C with specific primary antibodies (anti-cMETc-12—Santa Cruz Biotechnology—1 : 1000 dilution; anti-cMET[pY1003]—BioSource International—1 : 1000 dilution; anti-
-tubulin—Sigma—1 : 200 dilution) and then with the appropriate horseradish peroxidase-conjugated secondary antibodies (Cell Signaling Technologies) (1 : 2000 dilution) and detection was carried out [23].
cytotoxicity assay and pharmacological interaction study
Gefitinib was a generous gift from AstraZeneca. DN-30 is a mAb against the cMET extracellular domain, which behaves as a partial agonist, inducing receptor phosphorylation but being unable to trigger the whole set of downstream biological effects [24].
The drugs were diluted in fresh medium before each experiment. A549, SW1573, H460, H292, and H1650 cells were plated and treated with gefitinib (0.01–100 µM) with and without HGF (40 ng/ml) and DN-30 (80 µg/ml) and their combinations, as indicated, as previously described [23]. Each experiment was carried out in two replicate wells for each drug concentration and repeated at least three times. After drug exposure, an MTT assay [MTT, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium-bromide, Sigma] was carried out as previously described [23]. DN-30 (80–1500 µg/ml) cytotoxicity was also evaluated by MTT. Absorbance values were expressed as the percentage of the untreated controls, and the 50% inhibitory concentration of cell growth (IC50) relative to untreated cultures was calculated. Drug interaction between gefitinib and DN-30 was assessed, at a nonconstant concentration ratio, using the combination index (CI) method [25].
statistical analysis
Patient groups were compared with the Fisher's exact or
2 tests when appropriate. Correlations were considered significant at the <0.05 level (two tailed). Survival curves were constructed using the Kaplan–Meier method, and differences between groups were analyzed using the log-rank test. Multivariate analysis was carried out using the Cox proportional hazards model. Only variables significant at the P < 0.05 level in the univariate analyses were entered into the Cox regression analysis. We carried out manual backward elimination using likelihood ratio tests with a significance level of 0.05. All statistical analyses were carried out using SPSS software (version 14.0; SPSS Inc., Chicago, IL).
| results |
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Tables 1 and 2 summarize the outcome according to clinical and biological characteristics of the 51 advanced NSCLC patients treated with gefitinib. No statistically significant association between clinical and biological characteristics was observed.
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immunohistochemistry
Among 43 evaluable tumors, four (9.3%) had strong cMET[pY1003] membrane staining (3+), 12 (27.9%) had weak or moderate expression (1+: five patients; 2+: seven patients), and 27 (62.8%) were negative. No significant association was observed with response (P = 1.0), PD (P = 0.72), TTP (p = 0.45), and overall survival (OS) (P = 0.82) in patients with combined moderate and strong (2+ and 3+) cMET[pY1003] membrane staining. The four patients with cMET[pY1003] overexpression had PD to the treatment (four of four patients; P = 0.019) and a shorter TTP (P = 0.0416). Of 27 additional advanced/metastatic NSCLC patients treated with erlotinib or gefitinib, two (7.5%) had cMET[pY1003] overexpression and both had PD. Among 71 NSCLC patients treated with radical surgery, only three (4%) had cMET[pY1003] overexpression. The overall frequency of cMET[pY1003] overexpression was 6% (nine of 149 patients). Table 3 summarizes the clinical and biological characteristics of these nine patients.
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FISH analysis
Out of a total of 153 cores (51 patients in triplicate), results were obtained in 121 cores (corresponding to 42 patients). Twenty-one patients exhibited at least one tumor core with FISH positivity (only one patient with MET gene amplification) (Table 2). Three of four tumors with cMET[pY1003] overexpression exhibited FISH positivity. No significant association was observed between cMET[pY1003] overexpression and FISH positivity (P = 0.6). The patient with cMET amplification had stable disease and harbored KRAS mutation. Two FISH-positive patients also harbored EGFR mutations: one had PD and the other partial response (PR).
mutation analysis
Four patients harbored an EGFR exon 19 deletion (Table 2) and 15 patients had KRAS mutations. No mutations in EGFR exons 18, 20, and 21 were found. No tumor with KRAS mutation harbored EGFR19 mutations. None of the patients bearing KRAS mutations achieved PR after gefitinib treatment. No mutations in cMET exons 14 and 15 were found in the tumors overexpressing cMET[pY1003].
multivariate analysis
We carried out two different Cox regression analyses to evaluate the risk of disease progression and the risk of death entering only variables that were significantly associated with TTP in the univariate model in the first analysis and with OS in the second analysis (Table 4). Adenocarcinoma histology [hazard ratio (HR) = 0.217, 95% CI 0.087–0.542, P = 0.001] and pAKT positivity (HR = 0.461, 95% CI 0.298–0.713, P = 0.001) remained significantly associated with reduced risk of PD. Performance status (PS) of two or less (HR = 4.605, 95% CI 1.773–11.961, P = 0.002) and cMET[pY1003] (HR = 2.464, 95% CI 1.293–4.696, P = 0.006) were significantly associated with an increased risk of PD. PS two or less was significantly associated with an increased risk of death (HR = 2.398, 95% CI 1.079–5.330, P = 0.032) whereas BAC histology associated with a reduced risk of death (HR = 0.506, 95% CI 0.277–0.924, P = 0.026).
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in vitro studies
Characterization and gefitinib IC50s of the cell lines used have been reported previously [6, 23]. Figure 2A shows the cMET protein expression. Gefitinib induced 50% growth inhibition in NSCLC cells at concentrations ranging from 0.1 to 24 µM in H1650 and H460 cells, respectively (Figure 2D). DN-30 treatment resulted in a modest inhibition of cell growth (Figure 2B). However, 80 µg/ml DN-30 was able to induce cMET down-regulation, as detected by western blot in SW1573 cells (Figure 2C). The activity of gefitinib was slightly reduced by HGF, while the addition of DN-30 enhanced the growth inhibition in H460, SW1573, A549, and H292 cells, with IC50s ranging from 0.06 µM (H292) to 18 µM (H460). The CI calculation showed a synergistic effect in all these cells (CI < 1, Figure 2E). In contrast, the H1650 cells, negative for cMET[pY1003] expression, showed negligible cell growth reduction by the addition of DN-30 to gefitinib, and the pharmacological interaction study demonstrated antagonism (CI > 1, Figure 2E).
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| discussion |
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We investigated several molecules as potential biologic markers of resistance to EGFR-TKIs in NSCLC. Strong cMET[pY1003] membrane staining was significantly correlated to primary gefitinib resistance and shorter TTP, and the multivariate analysis confirmed an increased risk of PD in this subset of patients. Specimens classified as 3+ had an impressive membrane staining compared with 1+ and 2+ tumors, suggesting a particular subset of NSCLC population. The Y1003 residue has an important role in binding to proteins, such as c-Cbl that modulates cMET internalization. When the receptor is not internalized, it remains tyrosine phosphorylated inducing a potentially oncogenic overstimulation. Although we did not find a significant correlation between activated cMET, cSRC, and the E-cadherin, the majority of patients with cMET[pY1003]-positive tumors in the three different series of patients analyzed had positive cSRC expression and negative E-cadherin, consistent with the role of cMET activation in EMT. Interestingly, all these patients presented typical EGFR-TKIs nonresponder characteristics, such as smoker status, absence of EGFR mutations, and presence of KRAS mutations. Moreover, pAKT and pERK were both positive in six of nine patients, supporting the notion that persistent activity of both RAS/ERK and PI3K/AKT kinase pathways contributes to EGFR-TKIs resistance in NSCLC cells [6, 7, 9]. Recently, Engelman et al. [19] reported that
20% of lung cancers with acquired resistance to gefitinib or erlotinib had cMET amplification and that cMET-driven gefitinib resistance was mediated through ERBB3/PI3K/Akt activation. In our study, one patient harboring EGFR mutation and exhibiting high MET copy numbers experienced PD. However, among the patients with cMET[pY1003] strong overexpression, three of four analyzed by FISH exhibited also high MET copy numbers and seven of nine (78%) had also pAKT-positive expression. None of these patients harbored EGFR19 mutations or experienced some benefit from EGFR-TKIs when treated, suggesting that cMET activation may promote primary as well as acquired EGFR-TKI resistance. Given the small number of patients with cMET[pY1003], our findings will need to be reproduced in larger cohort of patients treated with EGFR-TKIs. We observed cMET[pY1003] expression in 45% (five of 11) of NSCLC cell lines and cMET[pY1003]-positive NSCLC cells were associated with other biological features typical for EGFR-TKI resistance, such as presence of KRAS mutations. A549, SW1573, and H460 cells, with a strong cMET[pY1003] expression and the presence of KRAS mutation, showed gefitinib resistance.
Engelman et al. [19] reported that cMET amplification induced resistance to gefitinib in a gefitinib-sensitive lung cancer cell line and a cMET tyrosine kinase inhibitor (PHA-665,752) restored gefitinib sensitivity. In our study, the gefitinib–DN-30 combination demonstrated a synergistic effect in H460, SW1573, A549, and H292 cells, with IC50 ranging from 0.06 µM in H292 cells (wild-type KRAS), to 18 µM in H460 cells (mutant KRAS). Interestingly, the greater difference between cytotoxicity curves was recorded at gefitinib concentration between 0.1 and 1 µM, which are clinically achievable (1 µM). The gefitinib–DN-30 combination proved to be particularly effective in SW1573 cells, which have the highest cMET[pY1003] expression and carry a KRAS mutation [19, 26]. In contrast, in the H1650 cells, which are negative for cMET[pY1003] expression and carry an EGFR19 deletion, the addition of DN-30 to gefitinib led to an antagonistic effect.
Our data indicate that activated cMET, indicated by cMET[pY1003] strong overexpression, is a possible mechanism of gefitinib resistance in a small percentage of NSCLC patients and treatment with combinations of EGFR-TKIs and cMET inhibitors could be a promising approach to circumvent EGFR-TKIs resistance in this subset of patients.
Received for publication January 23, 2008. Revision received March 28, 2008. Accepted for publication April 7, 2008.
| References |
|---|
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1. Pao W, Miller VA, Politi KA, et al. Acquired resistance of lung adenocarcinomas to gefitinib or erlotinib is associated with a second mutation in the EGFR kinase domain. PLoS Med (2005) 2:e73.[CrossRef][Medline]
2. Kobayashi S, Boggon TJ, Dayaram T, et al. EGFR mutation and resistance of non-small-cell lung cancer to gefitinib. N Engl J Med (2005) 352:786–792.
3. Mitsudomi T, Kosaka T, Yatabe Y. Biological and clinical implications of EGFR mutations in lung cancer. Int J Clin Oncol (2006) 11:190–198.[CrossRef][Medline]
4. Pao W, Wang TY, Riely GJ, et al. KRAS mutations and primary resistance of lung adenocarcinomas to gefitinib or erlotinib. PLoS Med (2005) 2:e17.[CrossRef][Medline]
5. Giaccone G, Gallegos Ruiz M, Le Chevalier T, et al. Erlotinib for frontline treatment of advanced non-small cell lung cancer: a phase II study. Clin Cancer Res (2006) 12:6049–6055.
6. Janmaat ML, Kruyt FA, Rodriguez JA, Giaccone G. Response to epidermal growth factor receptor inhibitors in non-small cell lung cancer cells: limited antiproliferative effects and absence of apoptosis associated with persistent activity of extracellular signal-regulated kinase or Akt kinase pathways. Clin Cancer Res (2003) 9:2316–2326.
7. She QB, Solit D, Basso A, Moasser MM. Resistance to gefitinib in PTEN-null HER-overexpressing tumor cells can be overcome through restoration of PTEN function or pharmacologic modulation of constitutive phosphatidylinositol 3'-kinase/Akt pathway signaling. Clin Cancer Res (2003) 9:4340–4346.
8. Qin B, Ariyama H, Baba E, et al. Activated Src and Ras induce gefitinib resistance by activation of signaling pathways downstream of epidermal growth factor receptor in human gallbladder adenocarcinoma cells. Cancer Chemother Pharmacol (2006) 58:577–584.[CrossRef][Web of Science][Medline]
9. Thiery JP. Epithelial-mesenchymal transitions in tumour progression. Nat Rev Cancer (2002) 2:442–454.[CrossRef][Web of Science][Medline]
10. Witta SE, Gemmill RM, Hirsch FR, et al. Restoring E-cadherin expression increases sensitivity to epidermal growth factor receptor inhibitors in lung cancer cell lines. Cancer Res (2006) 66:944–950.
11. Yauch RL, Januario T, Eberhard DA, et al. Epithelial versus mesenchymal phenotype determines in vitro sensitivity and predicts clinical activity of erlotinib in lung cancer patients. Clin Cancer Res (2005) 11:8686–8698.
12. Natali PG, Prat M, Nicotra MR, et al. Overexpression of the met/HGF receptor in renal cell carcinomas. Int J Cancer (1996) 69:212–217.[CrossRef][Web of Science][Medline]
13. Olivero M, Rizzo M, Madeddu R, et al. Overexpression and activation of hepatocyte growth factor/scatter factor in human non-small-cell lung carcinomas. Br J Cancer (1996) 74:1862–1868.[Web of Science][Medline]
14. Maulik G, Kijima T, Ma PC, et al. Modulation of the c-Met/hepatocyte growth factor pathway in small cell lung cancer. Clin Cancer Res (2002) 8:620–627.
15. Ma PC, Jagadeeswaran R, Jagadeesh S, et al. Functional expression and mutations of c-Met and its therapeutic inhibition with SU11274 and small interfering RNA in non-small cell lung cancer. Cancer Res (2005) 65:1479–1488.
16. Mazzone M, Comoglio PM. The Met pathway: master switch and drug target in cancer progression. FASEB J (2006) 20:1611–1621.
17. Siegfried JM, Weissfeld LA, Luketich JD, et al. The clinical significance of hepatocyte growth factor for non-small cell lung cancer. Ann Thorac Surg (1998) 66:1915–1918.
18. Petrelli A, Circosta P, Granziero L, et al. Antibody-induced ectodomain shedding mediates HGF receptor down-regulation and hampers biological activity. Proc Natl Acad Sci USA (2006) 103:5090–5095.
19. Engelman JA, Zejnullahu K, Mitsudomi T, et al. MET amplification leads to gefitinib resistance in lung cancer by activating ERBB3 signaling. Science (2007) 316:1039–1043.
20. Therasse P. New guidelines to evaluate the response to treatment in solid tumors. J Natl Cancer Inst (2000) 92:205–216.
21. Meier R, Alessi DR, Cron P, et al. Mitogenic activation, phosphorylation, and nuclear translocation of protein kinase Bbeta. J Biol Chem (1997) 272:30491–30497.
22. Cappuzzo F, Magrini E, Ceresoli GL, et al. Akt phosphorylation and gefitinib efficacy in patients with advanced non-small-cell lung cancer. J Natl Cancer Inst (2004) 96:1133–1141.
23. Janmaat ML, Rodriguez JA, Gallegos-Ruiz M, et al. Enhanced cytotoxicity induced by gefitinib and specific inhibitors of the Ras or phosphatidyl inositol-3 kinase pathways in non-small cell lung cancer cells. Int J Cancer (2006) 118:209–214.[CrossRef][Web of Science][Medline]
24. Prat M, Crepaldi T, Pennacchietti S, et al. Agonistic monoclonal antibodies against the Met receptor dissect the biological responses to HGF. J Cell Sci (1998) 111:237–247.[Abstract]
25. Chou TC, Motzer RJ, Tong Y, Bosl GJ. Computerized quantitation of synergism and antagonism of taxol, topotecan, and cisplatin against human teratocarcinoma cell growth: a rational approach to clinical protocol design. J Natl Cancer Inst (1994) 86:1517–1524.
26. Lutterbach B, Zeng Q, Davis LJ, et al. Lung cancer cell lines harboring MET gene amplification are dependent on Met for growth and survival. Cancer Res (2007) 67:2081–2088.
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