Literature DB >> 27994655

Alteration status and prognostic value of MET in head and neck squamous cell carcinoma.

Yoon Ah Cho1, Eun Kyung Kim1, Su Jin Heo2, Byoung Chul Cho2, Hye Ryun Kim2, Ji Myung Chung3, Sun Och Yoon1.   

Abstract

The MET pathway plays a key role in various cancers, and its inhibition represents a potential treatment target. However, appropriate biomarkers are needed to facilitate the selection of patients who would benefit from MET inhibiting therapy. We herein conducted a robust confirmatory evaluation of the MET copy number alteration status and prognostic significance of c-Met expression in a large series of patients (n = 396) who underwent standard surgical resection and adjuvant chemoradiotherapy for head and neck squamous cell carcinoma (HNSCC). Surgically resected HNSCC samples were subjected to immunohistochemical and H-score analysis of c-Met expression and silver in situ hybridization analysis of MET amplification and copy number gains. c-Met expression varied, with mean and median H-scores (scale: 0-300 scale) of 61.2 and 60.0, respectively. The lowest and highest expression levels were observed in SCC of the larynx and oral cavity, respectively. MET copy number gains were observed in 16.9% of cases (67/339) and were associated with c-Met protein expression. High c-Met expression, determined according to MET gain status, was associated with an inferior overall survival rate, especially among completely resected cases. In conclusion, our robust analysis revealed that c-Met expression in HNSCCs varied according to anatomical site, correlated with MET copy number gains, and was associated with poor prognosis. This c-Met expression analysis method, which is based on the MET gain status, appears to appropriately predict high-risk HNSCC patients in the context of anti-MET therapeutic decisions.

Entities:  

Keywords:  Head and neck squamous cell carcinoma; MET gene; Prognosis; c-Met protein

Year:  2016        PMID: 27994655      PMCID: PMC5166528          DOI: 10.7150/jca.16686

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Head and neck cancers (HNCs) comprise one of the most common groups of cancers worldwide. Histologically, approximately 95% of all HNCs are head and neck squamous cell carcinoma (HNSCC) 1; this type of tumor is characterized by frequent recurrence and metastasis, as well as resistance to the conventional cisplatin-based chemoradiotherapy. Accordingly, patients with recurrent or metastatic HNSCC have dismal outcomes 2. The tyrosine kinase receptor c-Met normally binds with hepatocyte growth factor (HGF), which triggers its involvement in processes such as embryogenesis, cell growth, cell differentiation, and angiogenesis 3, 4. However, c-Met activation is also involved in processes related to malignant transformation, such as tumor growth, invasion, metastasis, and angiogenesis 5-9. In addition to paracrine or autocrine signaling via HGF, c-Met may also be activated via protein overexpression or the amplification, mutation, or transcriptional alteration (via microRNA-mediated dysregulation) of MET 10-12. c-Met overexpression and/or MET amplification are known to correlate with a worse prognosis in some types of cancers, including non-small-cell lung cancer and gastric cancer 12. In HNSCC, c-Met expression has been associated with cisplatin resistance and a strong metastatic ability in vivo, 2 as well as a poor patient prognosis 13. Inhibition of the MET pathway, which plays a key role in various types of cancer, is a potential cancer treatment target. Recently, several types of inhibitors that target various components of the MET signaling pathway have been introduced 12, 14-16. Of these, an anti-MET monoclonal antibody has yielded promising results against tumors that over express c-Met, as have small molecule inhibitors against tumors harboring MET mutation or amplification 12. However, a biomarker that would facilitate patient selection with respect to MET inhibiting therapy is needed. The prognostic significance of c-Met expression has not yet been confirmed in studies of MET and HNSCC 13, 17-19, possibly because of variability in detection methods and patient selection and a lack of validation of cut-off values. In addition, MET amplification and/or copy number alteration have been rarely studied in HNSCC; to date, a relatively small number of cases of recurrent/metastatic HNSCC at limited anatomical sites have been studied using immunohistochemistry and fluorescence in situ hybridization 13, 17-19. Accordingly, in this study, we conducted a robust evaluation of c-Met expression and MET copy number alteration in a large number of patients with HNSCC at various anatomic sites of the head and neck who had undergone standard surgical resection and adjuvant chemoradiotherapy when indicated. In these patients, we analyzed the association of c-Met expression with MET copy alterations, as well as the associations of c-Met/MET abnormalities with clinical variables such as anatomical site, tumor-node-metastasis (TNM) stage, human papillomavirus (HPV) status, and survival.

Materials and methods

Patients and clinical data

This study was approved by the Institutional Review Board of Severance Hospital. Formalin-fixed, paraffin-embedded specimens were obtained from consecutive patients who underwent surgical resection with a curative aim for HNSCC at Severance Hospital, Seoul, Korea, between 2005 and 2012 and were archived. The present study excluded HNSCC tissue samples that had been subjected to decalcification for accurate immunohistochemistry and DNA in situ hybridization analyses; as a result, some cases of surgically resected hypopharyngeal/laryngeal and sinonasal SCC were excluded. The inclusion criteria were available tumor tissue, clinical data regarding smoking status, and survival data; lack of preoperative treatment; and no clinicopathologic evidence of distant metastasis at the time of surgery. Ultimately, 396 cases were selected, among which 305 achieved complete R0 resection, defined histologically as tumor-free resection margins. In the present cohort, the affected anatomic sites included the oral cavity (anterior two-thirds of the tongue, mouth floor, hard palate, buccal mucosa, oral cavity; n = 204), hypopharynx (n = 28), larynx (lingual surface of the epiglottis, glottis, supraglottis, subglottis, larynx; n = 42), and oropharynx (tonsils, base of tongue, soft palate, oropharynx; n = 122). Other evaluated parameters included tumor location and size, histologic grade, metastasis to regional lymph nodes, lymphovascular invasion, and perineural invasion. Tumors were classified according to the Seventh American Joint Committee on Cancer (AJCC) TNM cancer classification system and the World Health Organization system 20, 21. Two pathologists (S.O.Y. and Y.A.C.) confirmed the histopathologic diagnoses of HNSCC. Clinical data were collected from the patients' medical records and reviewed to evaluate the clinicopathologic characteristics and survival outcomes. The median follow-up period was 37.1 months (range, 0.8-99.6 months). Other clinicopathologic characteristics are described in Table 1.
Table 1

Clinicopathological characteristics of 396 HNSCC patients.

CategoryVariablesNo. of cases (n = 396)Percentage (%)
SexMale29875.3
Female9824.7
AgeMedian (IQR), yrs58 (22-88)
SmokingNever smoker15438.9
Ex-smoker8020.2
Current smoker16240.9
Anatomical siteOral cavity20451.5
Oropharynx12230.8
Hypopharynx287.1
Larynx4210.6
p16 IHC statusNegative23659.6
Positive16040.4
Lymphovascular invasionAbsent32080.8
Present7619.2
Perineural invasionAbsent34286.4
Present5413.6
Resection margin statusR0*30577.0
Non-R09123.0
Pathologic T stagepT1-232682.3
pT3-47017.7
Pathologic N stagepN0-124862.6
pN2-314837.4
Postoperative therapyNo treatment14536.6
RTx alone15037.9
CCRT9925.0
CTx alone or other CTx alone or incomplete CCRT20.5
Recurrence/metastasisAbsent29374.0
Present10326.0
SurvivalAlive32481.8
Expired7218.2

HNSCC: head and neck squamous cell carcinoma; IQR: interquartile range; IHC: immunohistochemistry.

* R0 resection status was defined as complete tumor resection.

Tissue microarray preparation

Sections of formalin-fixed, paraffin-embedded tissues were prepared and stained with hematoxylin and eosin (H&E). Representative tumor areas were confirmed microscopically, selected, and used for tissue microarray (TMA) construction. Two or three different representative areas per case were selected; core tissues (3 mm in diameter) were taken from the individual tissue blocks (donor blocks) and arranged in recipient paraffin blocks (tissue array blocks) using a trephine apparatus.

Immunohistochemistry and analysis

Immunohistochemistry was performed on 4-μm TMA tissue sections with a Ventana Bench Mark XT Autostainer (Ventana Medical Systems, Tucson, AZ, USA) as described in previous reports 22. The following primary antibodies were tested: c-Met (pre-dilution; clone SP44; Ventana) and p16 (RTU; Ventana). c-Met protein expression was analyzed according to the semiquantitative H-score method; this method yields a total score range of 0-300 23 by multiplying the dominant nuclear staining intensity score (0, no staining; 1, weak or barely detectable membranous staining; 2, distinct brown membranous staining; 3, strong dark brown membranous staining) by the percentage (0-100%) of positive cell nuclei (Figs. 1A-D). Conventionally accepted criteria were used for p16 immunohistochemistry, and positivity was defined as the presence of strong and diffuse nuclear and cytoplasmic staining in >70% of the HNSCC cells. All other staining patterns were scored as negative 24.
Figure 1

Immunohistochemical analysis of c-MET protein expression and silver in-situ hybridization (SISH) to determine Representative images of immunohistochemical staining for c-Met demonstrate negative staining (intensity score 0, A), weak or barely detectable membranous staining (intensity score 1, B), distinct brown membranous staining (intensity score 2, C), and strong dark brown membranous staining (intensity score 3, D). Each intensity score was multiplied by the percentage of positive nuclear cell staining (0-100%) to calculate the H-score (possible scores: 0-300). In a SISH dataset, the black signals indicate MET copies and red signals indicate CEP7. The representative case harbored 3-4 MET signals per nucleus in ≥20% of counted tumor cells, indicating a MET copy number gain. Arrows point to cells that show 4 MET signals in the nucleus (E). Another representative case exhibits normal disomy of the MET and CEP7 signals (F). Selective magnification of cells is shown inside the black box (E and F).

Dual-color silver in situ hybridization and interpretation (SISH)

Dual-color SISH was performed on a Ventana BenchMark XT apparatus (Ventana Medical Systems) using the MET DNA (Roche-Ventana) and Chromosome 7 enumeration (CEP7) probes (Roche-Ventana). Signals were enumerated in 100 tumor cells with intact, non-overlapping nuclei per core under a light microscope with a magnification of 600X. Tumor nuclei with clearly distinct color signals for MET (black signal) and CEP7 (red signal) were evaluated (Figs. 1 E-H). If clusters of dots representing many copies of MET gene were noted, small and large clusters of multiple signals were counted as 6 and 12 signals, respectively, according to the interpretive guide provided for INFORM HER2 DNA probe staining of breast carcinoma (Ventana Medical Systems). MET SISH results were interpreted by two experienced evaluators (S.O.Y. and Y.A.C.) blinded to the clinical data. To define MET copy number gain or amplification, several criteria were considered with reference to previous fluorescence in situ hybridization-based studies of tyrosine kinase receptor genes, including the University of Colorado Cancer Center (UCCC) criteria for the epidermal growth factor receptor gene 25 and criteria for the fibroblast growth factor receptor gene in HNSCC 26 and MET in several tumor types 18, 19, 27-29. To address tyrosine kinase receptor gene heterogeneity in tumors 30, the proportion of tumor cells harboring copy number alterations was also considered. Previous studies that used the SISH method to detect MET copy number changes in several types of cancer (e.g., colorectal, gastric, non-small-cell lung, HNSCC) used different criteria for MET amplification, high MET copy numbers, and copy number gains. For example, MET amplification/copy number gain/polysomy was defined as a copy number ≥4 or ≥5, and the proportion of tumor cells (10%, 40%, or 90%, according to polysomy status) exhibiting copy number alterations was also considered in some definitions of MET gene amplification/copy number gain/polysomy 19, 31-33. In our study, we used the following definitions of MET copy number gain and amplification: 2-4 MET signals per nucleus in ≥20% of tumor cells, and ≥5 MET signals per nucleus in ≥20% of tumor cells, respectively. In all 396 cases, immunohistochemistry (IHC) and SISH were performed. Although c-Met IHC was available for all cases, we were not able to properly evaluate several SISH cores due to either disruption of cores or inadequate hybridization. Therefore, after excluding these cases (n=59), only 339 cases of SISH were analyzed properly.

Statistical analysis

The Mann-Whitney (MW) U test, Kruskal-Wallis (KW) test, one-way analysis of variance (ANOVA), two-sample t test, x test, and Pearson's or Spearman's correlation test were used to analyze differences between the evaluated variables. Overall survival was measured from the date of initial diagnosis to that of death or the last follow-up visit. Progression-free survival was measured from the date of initial diagnosis to that of disease progression, defined as cancer recurrence, continuance of stable disease/partial remission/progressive disease without complete remission, or cancer-related death during the study period. The Kaplan-Meier method was used to analyze survival rates, and differences were compared using the log-rank test. The Cox proportional hazards model was implemented for a multivariate analysis. Two-sided P-values <0.05 were considered statistically significant. Statistical analyses were conducted using IBM SPSS 22 software for Windows (IBM Corp, Armonk, NY, USA).

Results

Expression of c-Met protein in HNSCC

Overall, c-Met protein expression varied among HNSCC cases, with H-scores ranging from 0-240 (mean and median H-scores: 61.2 and 60.0, respectively). Regarding anatomical sites, the lowest and highest expression levels were observed in laryngeal SCC and SCC of the oral cavity, respectively; oropharyngeal and hypopharyngeal SCCs exhibited intermediate levels of expression (P = 0.003; Fig. 2A). Other clinicopathologic variables such as age, sex, smoking, lymphovascular invasion, perineural invasion, pT stage, and pN stage did not differ significantly with respect to c-Met expression level.
Figure 2

Relationships of c-Met expression with affected anatomic site and The c-MET expression levels were lowest and highest in laryngeal squamous cell carcinoma (SCC) and SCC of the oral cavity, respectively (A). Intermediate c-Met levels were observed in oropharyngeal and hypopharyngeal SCC (P = 0.003). The c-MET protein expression level was higher in cases exhibiting MET copy number gains than in those without MET gains (B, P = 0.002). A receiver operating characteristic curve analysis based on the MET copy number gain was conducted to determine the c-Met protein expression cut-off value (C).

MET copy number variation in HNSCC

The median MET copy number per case was 2 (range, 1-7), and the median MET/CEP7 per case was 1.05 (range, 1.00-1.76). Using our above-defined criteria for MET copy number gain and amplification, 16.9% (67/335) of the cases harbored copy number gain, whereas none harbored amplification (Table 2).
Table 2

MET gene copy number variation of HNSCC.

CategoryDefinitionNo. of casesPercentage (%)
NegativeDisomy26867.7
Copy number gain2 < MET signals < 5 per nucleus in 20% or more of tumor cells6716.9
AmplificationMET signals ≥ 5 per nucleus in 20% or more of tumor cells00

Relationship between c-Met protein expression and MET copy number variation

Cases harboring copy number gains had significantly higher c-Met protein expression levels than did cases without copy number gains (Fig. 2B; P = 0.001). According to a receiver operating characteristic curve analysis of MET copy number gain, an H-score of 65, which was higher than the above-mentioned mean and median c-Met expression H-score scores for overall HNSCC cases, was identified as the cut-off value for high c-Met protein expression (Fig. 2C). Using this cut-off value, 41.9% (166/396) of HNSCC cases exhibited high c-Met expression.

Associations of a high c-Met protein expression level and MET copy number gain with clinicopathologic variables

Among the overall cohort of HNSCC cases, a high c-Met protein expression was not found to associate significantly with clinicopathologic variables such as age, sex, smoking, anatomic site, HPV (p16 immunohistochemistry) status, lymphovascular invasion, perineural invasion, pT category, or pN category. No other significant associations were observed between MET copy number gain and other clinicopathologic variables (Table 3).
Table 3

Clinicopathologic characteristics of HNSCC according to the c-MET protein expression and MET gene CN gain status.

CategoryVariablesNo. of cases (n = 396)c-MET proteinNo. of cases (n = 335)MET copy number variation
Low (%)High (%)P-valueNo gain (%)CN gain (%)P-value
(n = 230)(n = 166)(n = 268)(n = 67)
SexMale298180 (78.3)118 (71.1)0.1028065 (24.3)15 (22.4)0.749
Female9850 (21.7)48 (28.9)255203 (75.7)52 (77.6)
Age (yrs)< 58194111 (48.3)83 (50.0)0.733167129 (48.1)38 (56.7)0.209
≥ 58202119 (51.7)83 (50.0)168139 (51.9)29 (43.3)
SmokingNever smoker15488 (38.3)66 (39.8)0.924128106 (39.6)22 (32.8)0.161
Ex-smoker8046 (20.0)34 (20.5)6656 (20.9)10 (14.9)
Current smoker16296 (41.7)66 (39.8)141106 (39.6)35 (52.2)
Anatomical sitesOral cavity204110 (47.8)94 (56.6)0.305168129 (48.1)39 (58.2)0.164
Oropharynx12276 (33.0)46 (27.7)10994 (35.1)15 (22.4)
Hypopharynx2816 (7.0)12 (7.2)2417 (6.3)7 (10.4)
Larynx4228 (12.2)14 (8.4)3428 (10.4)6 (9.0)
p16 IHC statusNegative236134 (58.3)102 (61.4)0.524190149 (55.6)41 (61.2)0.408
Positive16096 (41.7)64 (38.6)145119 (44.4)26 (38.8)
Lymphovascular invasionNegative320182 (79.1)138 (83.1)0.318267208 (77.6)59 (88.1)0.057
Positive7648 (20.9)28 (16.9)6860 (22.4)8 (11.9)
Perineural invasionNegative342202 (87.8)140 (84.3)0.318285226 (84.3)59 (88.1)0.443
Positive5428 (12.2)26 (15.7)5042 (15.7)8 (11.9)
Resection margin statusR0*305175 (76.1)130 (78.3)0.630255202 (75.4)53 (79.1)0.522
Non-R09155 (23.9)36 (21.7)8066 (24.6)14 (20.9)
Pathologic T stagepT1-2326188 (81.7)138 (83.1)0.720273218 (81.3)55 (82.1)0.888
pT3-47042 (18.3)28 (16.9)6250 (18.7)12 (17.9)
Pathologic N stagepN0-1248144 (62.6)104 (62.7)0.993204156 (58.2)48 (71.6)0.044
pN2-314886 (37.4)62 (37.3)131112 (41.8)19 (28.4)

HNSCC: head and neck squamous cell carcinoma; CN: copy number; IHC: immunohistochemistry

* R0 resection status was defined as complete tumor resection

Associations of a high c-Met protein expression level and MET copy number gain with patient survival

In the overall cohort, high c-Met protein expression tended to associate with inferior overall survival with marginal significance (P = 0.071; Fig. 3A; supplementary Table 1). However, MET copy number gain was not related to overall survival (supplementary Table 1). Furthermore, neither c-Met protein expression nor MET copy number gain associated significantly with progression-free survival (supplementary Table 2). Other clinicopathologic variables, particularly age, anatomical site, p16 expression, pT category, and pN category, were found to associate significantly with both overall and progression-free survival (supplementary Tables 1 and 2).
Figure 3

Kaplan-Meier analysis of overall survival according to c-Met expression status. In the overall cohort of head and neck squamous cell carcinoma (HNSCC) cases, a high c-Met protein expression level tended to correlate with inferior overall survival in a marginally significant relationship (A). Among HNSCC cases that achieved complete (R0) resection, a high c-MET protein expression level correlated significantly with inferior overall survival (B).

Among the 305 cases in which complete tumor resection (R0 resection) was achieved, high c-Met expression was significantly related to inferior overall survival (P = 0.037; Fig. 3B and Table 4). In a multivariate Cox proportional hazards analysis, high c-Met expression tended to correlate independently with inferior OS, albeit with marginal significance (P = 0.061; Table 4). However, no significant association was observed between high c-Met expression and progression-free survival (Table 5). In addition, MET copy number gain did not associate significantly with overall or progression-free survival among cases involving R0 resection (Table 4 and 5). In this subgroup, other clinicopathologic variables, particularly anatomical site, pT category, and pN category, associated significantly with overall survival and progression-free survival (Table 4 and 5).
Table 4

Cox analysis for overall survival among complete tumor resection (R0 resection; n=305).

CategoryVariablesUnivariateMultivariate
HR (95% CI)P-valueHR (95% CI)P-value
SexFemale1N/A
Male1.242 (0.681-2.265)0.480N/A
Age (years)< 5811
≥ 581.881 (1.048-3.493)0.0341.752 (0.953-3.220)0.071
LocationOropharynx11
Oral cavity2.654 (1.118-6.302)0.0273.570 (1.436-8.871)0.006
Hypopharynx3.225 (0.806-12.9)0.0982.377 (0.587-9.623)0.225
Larynx1.830 (0.457-7.319)0.3932.526 (0.613-10.418)0.200
SmokingNever smoker1N/A
Ex-smoker0.621 (0.250-1.538)0.303N/A
Current smoker1.157 (0.631-2.120)0.637N/A
p16 IHC status1N/A
1.457 (0.782-2.717)0.236N/A
Lymphovascular invasionAbsent1N/A
Present1.795 (0.913-3.528)0.090N/A
Perineural invasionAbsent1N/A
Present1.877 (0.907-3.882)0.090N/A
Pathologic T stagepT1-211
pT3-44.089 (2.240-7.464)< 0.0012.714 (1.413-5.214)0.003
Pathologic N stagepN0-111
pN2-32.198 (1.248-3.872)0.0062.263 (1.187-4.315)0.013
c-MET expressionLow11
High1.838 (1.037-3.259)0.0371.742 (0.975-3.112)0.061
MET CN gainNo gain1N/A
Gain0.577 (0.244-1.366)0.211N/A

HNSCC: head and neck squamous cell carcinoma; CN: copy number; IHC: immunohistochemistry.

Table 5

Cox analysis for progression-free survival among complete tumor resection (R0 resection; n=305).

CategoryVariablesUnivariateMultivariate
HR (95% CI)P-valueHR (95% CI)P-value
SexFemale1N/A
Male1.007 (1.107-1.671)0.977N/A
Age (years)< 5811
≥ 581.767 (1.048-2.819)0.0171.635 (0.998-2.679)0.051
LocationOropharynx11
Oral cavity2.159 (1.126-4.140)0.0202.386 (1.100-5.176)0.028
Hypopharynx3.270 (1.135-9.416)0.0282.352 (0.755-7.328)0.140
Larynx1.976 (0.730-5.347)0.1801.876 (0.620-5.679)0.265
SmokingNever smoker1N/A
Ex-smoker0.879 (0.436-1.774)0.720N/A
Current smoker1.563 (0.948-2.577)0.080N/A
p16 IHC status11
1.812 (1.075-3.053)0.0260.635 (0.353-1.140)0.128
Lymphovascular invasionAbsent11
Present1.885 (1.094-3.249)0.0221.811 (0.998-3.286)0.051
Perineural invasionAbsent11
Present2.060 (1.168-3.634)0.0131.219 (0.639-2.323)0.548
Pathologic T stagepT1-211
pT3-43.328 (2.003-5.529)< 0.0012.290 (1.307-4.014)0.004
Pathologic N stagepN0-111
pN2-31.969 (1.247-3.110)0.0041.842 (1.055-3.215)0.032
c-MET expressionLow1N/A
High1.186 (0.750-1.874)0.466N/A
MET CN gainNo gain1N/A
Gain0.494 (0.235-1.037)0.062N/A

HNSCC: head and neck squamous cell carcinoma; CN: copy number; IHC: immunohistochemistry.

Discussion

Although several studies have evaluated c-Met expression levels and MET amplification/copy number alteration in several types of cancer, none have determined cut-off values for these parameters with regard to prognostic importance or patient selection for MET inhibitor therapy 13, 17-19, 31-36. In this study, we aimed to investigate changes in statuses of c-Met protein expression and MET copy number, to analyze the association between these factors, and to determine the prognostic value of both factors in patients with HNSCC. Previous studies of c-Met expression and MET copy number alteration in HNSCC have been restricted to specific anatomic sites or stage, or have included relatively small numbers of cases; in addition, the studies were heterogeneous with respect to detection method or treatment modality 13, 17-19. These differences might explain the lack of confirmation for the prognostic significance of c-Met expression or MET copy alteration or cut-off values for these factors. In addition, MET amplification or copy number alteration has been rarely studied in HNSCC, particularly in cohorts composed primarily of patients treated with radical surgery. In contrast, the current study presents a robust evaluation of c-Met expression and MET copy number alterations in a large number of HNSCC cases that occurred in various anatomic sites of the head and neck; in addition, all involved patients underwent surgical resection with a curative aim and standard adjuvant chemoradiotherapy according to indicated treatment protocols. In the present cohort of HNSCC cases, overall c-Met protein expression was variable, with an average H-score of approximately 60 (scale: 0-300). The c-Met expression level differed according to anatomical site, with lower and higher levels observed in laryngeal SCC and SCC of the oral cavity, respectively, and intermediate levels in oropharyngeal and hypopharyngeal SCC. These findings agree with a previous study in which high c-Met expression was relatively more frequent in the oral cavity and less frequent in the larynx 18, although the previous study involved a relatively smaller cohort and somewhat different detection criteria. Although little is known about other comparative analyses of c-Met expression according to anatomical site, it appears that SCC of the oral cavity might be associated with high c-Met expression more strongly than HNSCCs at other anatomical sites. Differences in tumor microenvironment, according to various anatomical sites of HNSCC, might be related to different expression levels of c-Met. Active immune responses against foreign bodies occur in the oral cavity, while HPV infection is predominantly found in oropharyngeal areas. This might suggest a difference in immune responses according to anatomical site, which may be associated with differential c-Met expression. Hepatocyte growth factor (HGF), a ligand of Met, plays a significant role in immune surveillance in HNSCC 37. In addition to tumor microenvironment, tumor-intrinsic factors, such as invasion, metastasis, and cancer stem cell-like phenotype, may also contribute to differences in c-Met expression. Several studies have shown that HGF/Met signaling is involved in tumor invasion, migration, and metastasis, as well as cancer stem cell-like properties 37. Therefore, anatomical sites of HNSCC should be considered when choosing candidates in c-Met-associated clinical trials. Further study is needed to identify potential mechanisms of variances in c-Met expression at different anatomical sites. Regarding MET alteration, a copy number gain was observed in 20.0% (67/335) of the tested cases in the present study. A majority (80.0% of tested cases, 268/335) of the remaining HNSCC cases exhibited normal disomy of MET and chromosome 7. In addition, no MET amplification was observed in the present study. In previous studies, high-level or focal MET amplification (clustered MET signals) has been reported as a rare event in HNSCC, as well as in other type of cancers (e.g., non-small-cell lung cancer or gastric cancer), with rates ranging 1-8%, despite considerable differences among studies in the detection methods and criteria used to define high copy number 19, 32, 33, 36. Although MET amplification may be rare, MET copy number gain may not be an uncommon event in HNSCC. HNSCC cases harboring a MET copy number gain had significantly higher c-Met protein expression levels than did cases with a normal MET status, suggesting a potential association between a MET gain and c-Met protein overexpression. This corroborates earlier studies that reported positive correlations of c-Met expression (via immunohistochemistry) with MET copy number gain or amplification (via fluorescence in situ hybridization) 32, 33. To further explore this result, a c-Met expression cut-off value of an H-score of 65, was determined based on the MET gain status. As noted previously, this value was slightly higher than the mean and median c-Met expression levels among all tested HNSCC cases, which would generally be used as a cut-off value with which to determine a high value for a quantitative variable. High c-Met expression, determined through a MET gain-based analysis, was significantly related to a poor overall survival rate and tended to be independently related to poor overall survival among cases with R0 resection. In other words, a high tumor c-Met expression level might be associated with high-risk HNSCC even after complete tumor removal. According to the findings of the present study, the devised method for determining high c-Met expression according to a MET gain-based analysis appears to be reliable and appropriate for the prediction of patients with high-risk HNSCC. Recent studies of potential biomarkers to identify patients who would benefit from MET pathway inhibitors suggest a 50% cut-off for c-Met expression. In other words, ≥50% of tumor cells would exhibit moderate (2+) to strong (3+) intensity in a c-Met immunohistochemistry analysis (i.e., H score ≥100) or 1+ or stronger staining (i.e., H score ≥50). Although those trials have focused on non-small-cell lung cancer and gastric or esophagogastric junction adenocarcinoma 34-36, the c-Met expression cutoff value determined in the present study could be considered when developing biomarkers to select patients with HNSCC who would benefit from MET inhibitor therapy. A MET gain or increased copy number did not directly associate with the survival prognoses of HNSCC patients in the present study. As in previous studies, the prognostic role of a MET gain has not yet been confirmed in HNSCC 19, although other studies have identified a relationship between a MET gain and poor prognosis in patients with lung, gastric, or nasopharyngeal carcinoma 27-29, 32. Regardless of differences in the detection methods, interpretation criteria, and tumor types between the present study and previous studies, a MET gain itself did not seem to affect patient prognosis among patients with HNSCC who underwent curative surgical resection. In summary, SCC of the oral cavity was associated with higher c-Met protein expression when compared with HNSCCs of other anatomical sites, and the c-Met protein expression level was associated with a MET gain. Furthermore, a high c-Met expression level, determined according to the MET gain status, was found to correlate with inferior overall survival, especially in patients who had achieved complete resection of HNSCC. The method described herein for determining high c-Met expression based on MET gains seemed to be reliable and appropriate for predicting patients with high-risk HNSCC and could facilitate the selection of patients who would benefit from MET inhibitor therapy. Supplementary tables. Click here for additional data file.
  35 in total

1.  A direct role for Met endocytosis in tumorigenesis.

Authors:  Carine Joffre; Rachel Barrow; Ludovic Ménard; Véronique Calleja; Ian R Hart; Stéphanie Kermorgant
Journal:  Nat Cell Biol       Date:  2011-06-05       Impact factor: 28.824

2.  Epidermal growth factor receptor gene and protein and gefitinib sensitivity in non-small-cell lung cancer.

Authors:  Federico Cappuzzo; Fred R Hirsch; Elisa Rossi; Stefania Bartolini; Giovanni L Ceresoli; Lynne Bemis; Jerry Haney; Samir Witta; Kathleen Danenberg; Irene Domenichini; Vienna Ludovini; Elisabetta Magrini; Vanesa Gregorc; Claudio Doglioni; Angelo Sidoni; Maurizio Tonato; Wilbur A Franklin; Lucio Crino; Paul A Bunn; Marileila Varella-Garcia
Journal:  J Natl Cancer Inst       Date:  2005-05-04       Impact factor: 13.506

Review 3.  The Met tyrosine kinase receptor in development and cancer.

Authors:  Alessandra Gentile; Livio Trusolino; Paolo M Comoglio
Journal:  Cancer Metastasis Rev       Date:  2008-03       Impact factor: 9.264

Review 4.  Drug development of MET inhibitors: targeting oncogene addiction and expedience.

Authors:  Paolo M Comoglio; Silvia Giordano; Livio Trusolino
Journal:  Nat Rev Drug Discov       Date:  2008-06       Impact factor: 84.694

Review 5.  MET: a promising anticancer therapeutic target.

Authors:  Solange Peters; Alex A Adjei
Journal:  Nat Rev Clin Oncol       Date:  2012-05-08       Impact factor: 66.675

6.  c-Met-targeted RNA interference inhibits growth and metastasis of glioma U251 cells in vitro.

Authors:  Sheng-Hua Chu; Dong-Fu Feng; Hong Zhang; Er-Tao Chen; Zhi-Xin Duan; Xue-Yuan Li; Jia Li; Yan-Bin Ma; Zhi-An Zhu; Jian-Hua Qiu
Journal:  J Neurooncol       Date:  2009-01-24       Impact factor: 4.130

7.  High MET gene copy number leads to shorter survival in patients with non-small cell lung cancer.

Authors:  Heounjeong Go; Yoon Kyung Jeon; Hyo Jin Park; Sook-Whan Sung; Jeong-Wook Seo; Doo Hyun Chung
Journal:  J Thorac Oncol       Date:  2010-03       Impact factor: 15.609

8.  Coupling Met to specific pathways results in distinct developmental outcomes.

Authors:  F Maina; G Panté; F Helmbacher; R Andres; A Porthin; A M Davies; C Ponzetto; R Klein
Journal:  Mol Cell       Date:  2001-06       Impact factor: 17.970

9.  Prognostic value of MET protein overexpression and gene amplification in locoregionally advanced nasopharyngeal carcinoma.

Authors:  Yingqin Li; Wenfei Li; Qingmei He; Yafei Xu; Xianyue Ren; Xinran Tang; Xin Wen; Xiaojing Yang; Ying Sun; Jing Zeng; Jingping Yun; Na Liu; Jun Ma
Journal:  Oncotarget       Date:  2015-05-30

10.  Expression of c-Met Is Different along the Location and Associated with Lymph Node Metastasis of Head and Neck Carcinoma.

Authors:  Ji-Young Choe; Ji Yun Yun; Soo-Jeong Nam; Ji Eun Kim
Journal:  Korean J Pathol       Date:  2012-12-26
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  11 in total

Review 1.  Activated HGF-c-Met Axis in Head and Neck Cancer.

Authors:  Levi Arnold; Jonathan Enders; Sufi Mary Thomas
Journal:  Cancers (Basel)       Date:  2017-12-12       Impact factor: 6.575

Review 2.  Hepatocyte Growth Factor/c-Met Signaling in Head and Neck Cancer and Implications for Treatment.

Authors:  Natalie J Rothenberger; Laura P Stabile
Journal:  Cancers (Basel)       Date:  2017-04-24       Impact factor: 6.639

Review 3.  Clinical update on head and neck cancer: molecular biology and ongoing challenges.

Authors:  Elham Alsahafi; Katheryn Begg; Ivano Amelio; Nina Raulf; Philippe Lucarelli; Thomas Sauter; Mahvash Tavassoli
Journal:  Cell Death Dis       Date:  2019-07-15       Impact factor: 8.469

4.  Changes in oncogenic protein levels in peri-implant oral malignancy: a case report.

Authors:  Mi Hyun Seo; Hoon Myoung; Jong Ho Lee; Soung Min Kim; Suk Keun Lee
Journal:  Maxillofac Plast Reconstr Surg       Date:  2019-11-08

Review 5.  Molecular mechanism(s) of regulation(s) of c-MET/HGF signaling in head and neck cancer.

Authors:  Sibi Raj; Kavindra Kumar Kesari; Arun Kumar; Brijesh Rathi; Ashok Sharma; Piyush Kumar Gupta; Saurabh Kumar Jha; Niraj Kumar Jha; Petr Slama; Shubhadeep Roychoudhury; Dhruv Kumar
Journal:  Mol Cancer       Date:  2022-01-26       Impact factor: 27.401

6.  Clinicopathological impacts of high c-Met expression in head and neck squamous cell carcinoma: a meta-analysis and review.

Authors:  Jung Han Kim; Bum Jun Kim; Hyeong Su Kim
Journal:  Oncotarget       Date:  2017-09-28

7.  NOVA1 induction by inflammation and NOVA1 suppression by epigenetic regulation in head and neck squamous cell carcinoma.

Authors:  Eun Kyung Kim; Yoon Ah Cho; Mi-Kyoung Seo; Hyunmi Ryu; Byoung Chul Cho; Yoon Woo Koh; Sun Och Yoon
Journal:  Sci Rep       Date:  2019-08-02       Impact factor: 4.379

8.  Prognostic role of c-Met in head and neck squamous cell cancer tissues: a meta-analysis.

Authors:  Vit Vsiansky; Jaromir Gumulec; Martina Raudenska; Michal Masarik
Journal:  Sci Rep       Date:  2018-07-10       Impact factor: 4.379

9.  Investigating Trk Protein Expression between Oropharyngeal and Non-oropharyngeal Squamous Cell Carcinoma: Clinical Implications and Possible Roles of Human Papillomavirus Infection.

Authors:  Yoon Ah Cho; Ji Myung Chung; Hyunmi Ryu; Eun Kyung Kim; Byoung Chul Cho; Sun Och Yoon
Journal:  Cancer Res Treat       Date:  2018-10-24       Impact factor: 4.679

10.  SIX1 Predicts Poor Prognosis and Facilitates the Progression of Non-small Lung Cancer via Activating the Notch Signaling Pathway.

Authors:  Shanshan Huang; Wanling Lin; Lei Wang; Yuan Gao; Xun Yuan; Peng Zhang; Yuan Chen; Qian Chu
Journal:  J Cancer       Date:  2022-01-01       Impact factor: 4.207

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