Literature DB >> 15083185

The tumour-stromal interaction between intratumoral c-Met and stromal hepatocyte growth factor associated with tumour growth and prognosis in non-small-cell lung cancer patients.

D Masuya1, C Huang, D Liu, T Nakashima, K Kameyama, R Haba, M Ueno, H Yokomise.   

Abstract

Immunohistochemical analyses of the effects of hepatocyte growth factor (HGF) and c-Met expression on tumour growth and angiogenesis were performed on 88 patients with non-small-cell lung cancers (NSCLCs). In all, 22 carcinomas (25.0%) were intratumoral HGF-positive, 14 carcinomas (15.9%) were stromal HGF-positive, and 36 carcinomas (40.9%) were intratumoral c-Met-positive. None of the carcinomas were stromal c-Met-positive. Examination of tumour growth revealed that the frequency of tumours with a high Ki-67 index was significantly greater for stromal HGF-positive tumours than for stromal HGF-negative tumours (P=0.0197). The frequency of tumours with a high Ki-67 index was also significantly greater for intratumoral c-Met-positive tumours than for intratumoral c-Met-negative tumours (P=0.0301). However, there was no significant difference in tumour vascularity with relation to intratumoral HGF status, stromal HGF status, and intratumoral c-Met status. The survival rate of patients with intratumoral c-Met-positive tumours was significantly lower than for patients with c-Met-negative tumours (P=0.0095). Furthermore, the survival rate of patients with both intratumoral c-Met-positive and stromal HGF-positive tumours was significantly lower than for patients with either positive tumours, and that of patients with both negative tumours (P=0.0183 and P=0.0011, respectively). A univariate analysis revealed that intratumoral c-Met expression was a significant prognostic factor of NSCLC patients (relative risk=2.642, P=0.0029). The present study demonstrates that tumour-stromal interaction between tumour cell-derived c-Met and stromal cell-derived HGF affects tumour growth and the prognosis of NSCLC patients.

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Year:  2004        PMID: 15083185      PMCID: PMC2409699          DOI: 10.1038/sj.bjc.6601718

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Non-small-cell lung cancer (NSCLC) is one of the most common human malignancies with a poor prognosis. It is widely accepted that malignant tumours are caused by the accumulation of genetic alterations, which reflect the biological behaviour of tumours, such as aggressive cell proliferation as well as invasive and metastatic potential (Cordon-Cardo, 1995). Therefore, it is considered important to understand the biological behaviour of NSCLCs, to improve the clinical outcome of NSCLC patients. Tumour–stromal interaction is an essential part of malignant progression in vivo (Chung, 1995). During tumour development, stromal fibroblasts produce an extracellular matrix that is used as an anchorage by tumour cells. In addition, the extracellular matrix also functions as a reservoir of growth factors derived from tumour or stromal cells. Various growth factors and their receptors, including hepatocyte growth factor (HGF)/c-Met, epithelial growth factor (EGF)/EGF-R, and the vascular endothelial growth factor (VEGF) family/VEGF-Rs, are reported to be involved in tumour–stromal interactions (Nakamura ; Turkeri ; Kajita ). Among these growth factors and their receptors, the HGF/c-Met pathway has multiple biological functions, such as cell proliferation (Montesano ), motility (Weidner ), angiogenesis (Bussolino ), and morphogenesis (Brinkmann ). Many human cancers exhibit overexpression of HGF and/or c-Met (Olivero ; Kurimoto ; Edakuni ), and several clinical studies revealed that overexpression of HGF and/or c-Met is associated with the prognosis of NSCLC patients (Ichimura ; Takanami ; Siegfried ). However, the mechanisms of their biological behavior in NSCLCs are not fully understood in part because they have multiple functions. To clarify the role of HGF/c-Met in NSCLCs, we undertook a clinical study of HGF and c-Met expression in relation to tumour growth and vascularity. We evaluated their expression using immunohistochemistry to differentiate tumour cell-derived expression from stromal cell-derived expression. In addition, we studied their effects on cell proliferation rate using the Ki-67 labeling index (Gerde ; Scagliotti ) and their ability to promote tumour angiogenesis was evaluated by intratumoral microvessel density (IMD) using CD34 staining (Matsuyama ).

MATERIALS AND METHODS

Clinical characteristics of patients

NSCLC patients who underwent surgery at the Second Department of Surgery, Kagawa Medical University, from January 1993 to March 2001, were examined. Tumour-node-metastasis (TNM) staging designations were assigned according to the postsurgical pathological international staging system (Mountain, 1997). Since Stage IV-lung cancer involves several ill-defined factors and has distant metastases, patients with these signs were excluded from the study. Patients with two or more types of cancers and patients, who died of causes other than NSCLC, were also excluded. In total, 88 NSCLC patients were investigated. Among them were 46 patients with adenocarcinoma, 29 patients with squamous cell carcinoma, and 13 patients with large-cell carcinoma. Patients' clinical records and histopathological diagnoses were fully documented. This report includes follow-up data until May 27, 2003. The mean follow-up period for all patients was 49.8±36.1 months.

Immunohistochemical staining of HGF, c-Met, Ki-67, and CD34

We used a rabbit polyclonal antibody against HGF (SC-7949, Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA) at 1 : 100 dilution, a rabbit polyclonal antibody against c-Met (SC-10, Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA) at 1 : 100 dilution, a mouse monoclonal antibody against Ki-67 (MIB-1, DAKO, Glostrup, Denmark) at 1 : 40 dilution, and a mouse monoclonal antibody against CD34 (NU-4A1, Nichirei Corporation, Tokyo, Japan) at 1 : 10 dilution. Formalin-fixed paraffin-embedded tissue was cut into 4-μm-thick sections and mounted on poly-L-lysine-coated slides. Sections were then deparaffinized and rehydrated, heated in a microwave for 10 min in a 10-μmol l−1 citrate buffer solution at pH 6.0, and cooled to room temperature for 20 min. After quenching endogenous peroxidase activity with 0.3% H2O2 (in absolute methanol) for 30 min, the sections were treated for 2 h at room temperature with 5% bovine serum albumin to block nonspecific staining. The sections were subsequently incubated overnight with primary specific antibodies against HGF, c-Met, Ki-67, and CD34, respectively. The slides were then incubated for 1 h with biotinylated anti-rabbit IgG (Vector Laboratories Inc., Burlingame, CA, USA) against HGF and c-Met, and biotinylated anti-mouse IgG (Vector Laboratories Inc., Burlingame, CA, USA) against Ki-67 and CD34. The sections were incubated with the avidin–biotin–peroxidase complex (Vector Laboratories Inc.) for 1 h, and antibody binding was visualized with 3,3′-diaminobenzidine tetrahydrochloride. As a final step, the sections were counterstained with Mayer's haematoxylin. Sections of resected lung tumours known to express HGF and c-Met were used as positive controls for immunostaining, and sections incubated with normal rabbit IgG served as negative reaction controls for staining of HGF and c-Met. All immunostained sections were reviewed by two pathologists (RH and MU) who had no knowledge of the patients' clinical status. Cases with discrepancies were jointly reevaluated and a consensus was reached. In cases with multiple areas of low intensity that occurred during evaluation of immunostaining of HGF and c-Met, five areas were selected at random and scored. Also, one random field was selected in sections where all staining appeared intense. At least 200 tumour cells were scored per × 40 field. The sample was classified as intratumoral HGF-positive when ⩾50% of the tumour cells in a given specimen were positively stained for HGF, and it was classified as intratumoral HGF-negative when <50% of the cells were stained. In addition, the sample was classified as stromal HGF-positive when ⩾50% of the stromal cells of tumours in a given specimen were positively stained for HGF, and it was classified as stromal HGF-negative when <50% of the stromal cells were stained. Since a homogeneous cytoplasmic staining pattern appeared in c-Met-stained tumour cells, c-Met staining was scored by staining intensity as reported previously (Jin ; Ramirez ). Staining intensity was classified as grade 0 (no staining), grade 1 (weak staining), grade 2 (moderately strong staining), grade 3 (very strong staining), or grade 4 (extremely strong staining). The sample was classified as intratumoral c-Met-positive when the intensity of c-Met-stained tumour cells in a given specimen was greater than grade 1. All other samples of c-Met-stained tumour cells were classified as intratumoral c-Met-negative. The rate of tumour proliferation was evaluated by the percentage of carcinoma cells that stained positive for Ki-67 in a given specimen scored using the Ki-67 proliferation index. Tumours with a Ki-67 proliferation index ⩾25% were classified as high Ki-67, while tumours with <25% were classified as low Ki-67. For microvessel quantification, the three most vascularised areas detected by CD34 immunostaining were initially selected under × 40 field, and × 200 field (0.785 mm2 per field), and microvessels were counted in each of these areas. The average count for three × 200 fields was recorded as the IMD. Tumours with IMD ⩾90 were classified as hypervascular, while tumours with IMD <90 were classified as hypovascular (Masuya ).

Statistical analysis

The overall cancer-specific survival was defined from the date of operation to the date of cancer-related death. Statistical significances in the expression of HGF, c-Met, Ki-67, and IMD in relation to several clinical and pathologic parameters were assessed using a t-test and χ2 test. The Kaplan–Meier method was used to estimate the probability of overall survival as a function of time, and survival periods were compared using a log-rank test. Analysis using the Cox regression model was performed to study the effects of different variables on survival rate. All P-values were based on two-tailed statistical analysis, and P-values <0.05 were taken to indicate the statistical significance.

RESULTS

Hepatocyte growth factor expression in NSCLCs

Hepatocyte growth factor staining of tumour or stromal cells appeared in the form of a heterogeneous cytoplasmic staining pattern. Among the 88 carcinomas examined for HGF expression in tumour cells, 22 carcinomas (25.0%) were intratumoral HGF-positive, and 66 carcinomas (75.0%) were intratumoral HGF-negative (Table 1 and Figure 1A). There was no significant difference in intratumoral HGF expression according to tumour histology, tumour status, nodal status, and tumour differentiation. With regard to HGF expression in the stromal cells of tumours, 14 carcinomas (15.9%) were stromal HGF-positive and 74 carcinomas (84.1%) were stromal HGF-negative (Table 1 and Figure 1B, C). There was also no significant difference in stromal HGF expression according to tumour histology, tumour status, nodal status, and tumour differentiation. In addition, there was no correlation between the percentage of HGF-positive tumour cells and HGF-positive stromal cells in each NSCLC (r=0.066, P=0.5431).
Table 1

Distribution of 88 non-small-cell lung cancer patients according to HGF and c-Met status

  Intratumoral HGF
Stromal HGF
Intratumoral c-Met
VariablesnPositiveNegativeP-valuePositiveNegativeP-valuePositiveNegativeP-value
Tumor status
 T13511240.25777280.39399260.0185
 T2, T3, T4531142 746 2726 
 
Nodal status
 N05617390.124710460.508621350.3895
 N1, N2, N332527 428 1517 
 
Pathological stage
 Stage I4615310.07569370.741614320.0169
 Stage II1019 19 28 
 Stage IIIA12012 210 84 
 Stage IIIB20614 218 128 
 
Differentiation
 Well308220.07172280.160610200.2299
 Moderately301119 525 1614 
 Poorly28325 721 1018 
 
Histology
 Adenocarcinoma4616300.06875410.052022240.1099
 Squamous cell carcinoma29524 425 1217 
 Large-cell carcinoma13112 58 211 
           
Total number of patients882266 1474 3652 

HGF=hepatocyte growth factor.

Figure 1

Immunohistochemical staining of human non-small-cell lung cancer tissues using the avidin–biotin–peroxidase complex procedure (original magnification, × 100). (A) An intratumoral HGF-positive squamous cell carcinoma. (B) A stromal HGF-positive squamous cell carcioma. (C) A stromal HGF-negative adenocarcinoma. (D) An intratumoral c-Met-positive adenocarcinoma. (E) An intratumoral c-Met-positive squamous cell carcinoma. (F) An intratumoral c-Met-negative squamous cell carcinoma. (G) An intratumoral c-Met-negative adenocarcinoma. (H) Ki-67 staining of an adenocarcinoma.

HGF=hepatocyte growth factor. Immunohistochemical staining of human non-small-cell lung cancer tissues using the avidin–biotin–peroxidase complex procedure (original magnification, × 100). (A) An intratumoral HGF-positive squamous cell carcinoma. (B) A stromal HGF-positive squamous cell carcioma. (C) A stromal HGF-negative adenocarcinoma. (D) An intratumoral c-Met-positive adenocarcinoma. (E) An intratumoral c-Met-positive squamous cell carcinoma. (F) An intratumoral c-Met-negative squamous cell carcinoma. (G) An intratumoral c-Met-negative adenocarcinoma. (H) Ki-67 staining of an adenocarcinoma.

c-Met expression in NSCLCs

c-Met-stained tumour cells showed a homogeneous cytoplasmic staining pattern with variable intensity. In contrast, no carcinoma exhibited positive c-Met staining in stromal cells. Of the 88 carcinomas studied, 36 carcinomas (40.9%) were intratumoral c-Met-positive, and 52 carcinomas (59.1%) were intratumoral c-Met-negative (Table 1 and Figure 1D–G). There was no significant difference in intratumoral c-Met expression according to tumour histology, tumour differentiation, and nodal status. However, the frequency of intratumoral c-Met-positive tumours was significantly higher for T2–4 tumours than for T1 tumours (50.9 vs 25.7%, P=0.0185).

Ki-67 proliferation index in NSCLCs

The mean value of the Ki-67 proliferation index among the 88 NSCLCs studied was 44.2±31.0. In all, 44 carcinomas (50.0%) had a high Ki-67 index and 44 carcinomas (50.0%) had a low Ki-67 index (Figure 1H). Of the 46 adenocarcinomas, 16 tumours (34.8%) had a high Ki-67 index and 22 tumours (75.9%) of the 29 squamous cell carcinomas had a high Ki-67 index. Among the 13 large cell carcinomas, six tumours (46.2%) had a high Ki-67 index. The frequency of tumours with a high Ki-67 index was significantly greater for squamous cell carcinomas than for adenocarcinomas (P<0.001).

Tumour vascularity in NSCLCs

The mean IMD value in the 88 NSCLCs was 97.7±52.8. In total, 45 carcinomas (51.1%) were hypervascular and 43 carcinomas (48.9%) were hypovascular. Of the 46 adenocarcinomas 31 tumours (67.4%) were hypervascular, and eight tumours (27.6%) among the 29 squamous cell carcinomas were hypervascular. Also, six tumours (46.2%) of the 13 large-cell carcinomas were hypervascular. The frequency of hypervascular tumours was significantly higher for adenocarcinomas than for squamous cell carcinomas (P<0.001).

Ki-67 proliferation index in relation to HGF and c-Met status

There was no difference in Ki-67 index between intratumoral HGF-positive tumours and intratumoral HGF-negative tumours (44.7±30.8 vs 42.5±32.4) with regard to intratumoral HGF expression. However, the Ki-67 proliferation index was 59.9±24.5 among stromal HGF-positive tumours, and 41.2±31.4 among stromal HGF-negative tumours. The Ki-67 proliferation index was significantly greater in stromal HGF-positive tumours than in stromal HGF-negative tumours (P=0.0386). Of the 14 stromal HGF-positive tumours, 11 tumours (78.6%) had a high Ki-67 index, and 33 tumours (44.6%) among the 74 stromal HGF-negative tumours had a high Ki-67 index. The frequency of tumours with a high Ki-67 index was significantly greater for stromal HGF-positive tumours than for stromal HGF-negative tumours (P=0.0197, Figure 2A).
Figure 2

(A) Tumour proliferation rate in relation to stromal HGF status in NSCLCs. (B) Tumour proliferation rate in relation to intratumoral c-Met status in NSCLCs. (C) Tumour proliferation rate in relation to stromal HGF status and intratumoral c-Met status in NSCLCs.

(A) Tumour proliferation rate in relation to stromal HGF status in NSCLCs. (B) Tumour proliferation rate in relation to intratumoral c-Met status in NSCLCs. (C) Tumour proliferation rate in relation to stromal HGF status and intratumoral c-Met status in NSCLCs. The Ki-67 proliferation index was 48.5±28.8 among intratumoral c-Met-positive tumours, and 41.3±32.4 among intratumoral c-Met-negative tumours. Of the 36 intratumoral c-Met-positive tumours, 23 tumours (63.9%) had a high Ki-67 index, while 21 tumours (40.4%) of the 52 c-Met-negative tumours had a high Ki-67 index. The frequency of tumours with a high Ki-67 index was significantly greater for intratumoral c-Met-positive tumours than for intratumoral c-Met-negative tumours (P=0.0301, Figure 2B). There was no significant correlation between the percentage of HGF-positive stromal cells and the percentage of c-Met-positive tumour cells in each NSCLC (r=0.030, P=0.7802). Therefore, the 88 NSCLCs examined were classified into three groups according to stromal HGF status and intratumoral c-Met status; one group in which six patients had tumours that exhibited both positive stromal HGF and intratumoral c-Met expression; a second group in which 38 patients had tumours which demonstrated either positive stromal HGF or intratumoral c-Met expression; and a third group where 44 patients had tumours that showed negative expression for both HGF and c-Met. The frequency of tumours with a high Ki-67 index was 83.3% in the first group, 63.2% in the second group, and 34.0% in the third group. The frequency of high Ki-67 tumours in the third group was significantly lower than that for the other two groups (P=0.0086 and 0.0209, respectively, Figure 2C).

Tumour vascularity in relation to HGF and c-Met

No significant difference was found in IMD between intratumoral HGF-positive and intratumoral HGF-negative tumours (103.2±41.4 vs 96.0±55.9). In addition, there was no significant difference in IMD between stromal HGF-positive and stromal HGF-negative tumours (106.6±60.2 vs 95.9±51.4). Also, no significant difference was evident in IMD between intratumoral c-Met-positive and intratumoral c-Met-negative tumours (103.4±58.9 vs 89.3±41.4).

Overall survival of NSCLC patients in relation to HGF and c-Met status

The 5-year survival rates of the 88 NSCLC patients according to intratumoral HGF status, stromal HGF status, and c-Met status are shown in Table 2 . There was no significant difference in survival among the patients in relation to intratumoral HGF status. In addition, there was also no significant difference with relation to stromal HGF status.
Table 2

Five-year survival rate of 88 non-small-cell lung cancer patients according to HGF and c-Met status

 Intratumoral HGF
Stromal HGF
c-Met
VariablesPositiveNegativeP-valuePositiveNegativeP-valuePositiveNegativeP-value
Tumor status
 T180.869.10.288983.371.30.592072.972.50.7980
 T2, T3, T440.435.80.638617.139.40.322021.053.20.0481
 
Nodal status
 N068.366.80.514866.767.90.860452.076.20.1146
 N1, N2, N326.721.60.75770.024.90.29697.934.70.0817
 
Pathological stage
 Stage I78.375.70.667775.077.50.690368.980.00.4205
 Stage II100.037.50.44400.050.00.50720.050.00.0941
 Stage IIIA0.09.1>0.99990.011.10.163514.30.00.3456
 Stage IIIB0.027.90.22230.020.70.44439.342.90.3808
 
Differentiation
 Well58.357.10.532150.059.00.633940.067.70.1269
 Moderately58.358.60.698333.361.10.440641.775.50.1184
 Poorly66.733.80.461057.131.60.331612.549.40.0599
 
Histology
 Adenocarcinoma54.149.70.493675.049.60.509733.965.90.0399
 Squamous cell carcinoma75.055.80.36090.067.20.157341.371.80.1464
 Large-cell carcinoma100.033.30.384660.025.00.25680.045.50.0610
          
Total60.348.60.173550.752.20.840933.863.20.0095

HGF=hepatocyte growth factor.

HGF=hepatocyte growth factor. With respect to intratumoral c-Met status, however, the 5-year survival rate of patients with intratumoral c-Met-positive tumours was significantly lower than that for patients with intratumoral c-Met-negative tumours (33.8 vs 63.2%, P=0.0095, Figure 3A). Also, the 5-year survival rate for patients with c-Met-positive adenocarcinomas was significantly lower than that for patients with c-Met-negative adenocarcinomas (33.9 vs 65.9%, P=0.0399, Figure 3B). Furthermore, the 5-year survival rate for patients with c-Met-positive tumours was significantly lower than that for patients with c-Met-negative tumours, especially in T2–4 tumours (21.0 vs 53.2%, P=0.0481, Figure 3C). A univariate analysis using the Cox regression model demonstrated that intratumoral c-Met status was a significant factor for predicting the prognosis of NSCLC patients (relative risk=2.642, P=0.0029).
Figure 3

(A) Overall survival of 88 NSCLC patients in relation to intratumoral c-Met status. (B) Overall survival of 46 patients with adenocarcinomas in relation to intratumoral c-Met status. (C) Overall survival of 53 patients with T2–4 carcinomas in relation to intratumoral c-Met status. (D) Overall survival of 88 NSCLC patients in relation between stromal HGF and intratumoral c-Met status.

(A) Overall survival of 88 NSCLC patients in relation to intratumoral c-Met status. (B) Overall survival of 46 patients with adenocarcinomas in relation to intratumoral c-Met status. (C) Overall survival of 53 patients with T2–4 carcinomas in relation to intratumoral c-Met status. (D) Overall survival of 88 NSCLC patients in relation between stromal HGF and intratumoral c-Met status. Since a correlation between the Ki-67 proliferation index and both intratumoral c-Met and stromal HGF expression was demonstrated, the survival of NSCLC patients according to intratumoral c-Met and stromal HGF status was analysed (Figure 3D). The 5-year survival rate was 61.4% for patients with both negative tumours, 45.3% for patients with either type of positive tumours, and 0% for patients with both positive tumours. The 5-year survival rate for patients with both positive tumours was significantly lower than that for patients with either type of positive tumours, and that for patients with both negative tumours (P=0.0183 and 0.0011, respectively).

DISCUSSION

Hepatocyte growth factor was discovered to be a mitogen for hepatocytes (Nakamura ), and subsequently found to be identical to the scatter factor (SF), which destroys epithelial cell adhesion and promotes cell motility (Weidner ). To date, HGF is known to be a multifunctional cytokine which induces cell proliferation (Montesano ), motility (Weidner ), angiogenesis (Bussolino ), and morphogenesis (Brinkmann ), in a wide variety of normal and neoplastic cells. In addition, its receptor is c-Met (Bottaro ), a transmembrane tyrosine kinase receptor encoded by the proto-oncogene c-Met (Park ). Overexpression of HGF and/or c-Met has been reported in various human cancers, including NSCLCs (Olivero ) and breast cancers (Edakuni ). Some tumour cell-derived factors, such as interleukin-1, basic fibroblast growth factor, and tumour necrosis factor-α, are involved in the overexpression of HGF in stromal fibroblasts (Tamura ; Nakamura ). In addition, one study revealed that cells transformed by the ras oncogene overexpressed c-Met (Webb ). Thus, such growth factors produced in stromal cells interact with the receptors expressed on tumour cells (paracrine pattern) (Chung, 1995). In addition, malignant tumour cells also often produce growth factors and their associated receptors (autocrine pattern) (Edakuni ). Therefore, the HGF/c-Met pathway plays an important role during tumour progression in a paracrine pattern and/or autocrine pattern. Several clinical studies of the HGF/c-Met pathway in NSCLCs demonstrated that its expression was associated with a poor survival rate of NSCLC patients (Ichimura ; Takanami ; Siegfried ). However, the precise mechanisms which control their behavior in NSCLCs are still not fully understood, partly because they have a variety of function and also because they originate from tumour or stromal cells. Therefore, we undertook this study using immunohistochemistry to investigate the relationship between the HGF/c-Met pathway and both tumour growth and angiogenesis. This study initially revealed that HGF expression appeared independently in tumour cells and/or stromal cells. In contrast, c-Met expression appeared only in tumour cells and not stromal cells, as reported by previous studies in human cancers (Ichimura ; Kurimoto ; Edakuni ). Olivero reported that c-Met staining was homogeneously distributed in a tumour mass, and that there was no staining of c-Met in normal lung tissue. However, HGF staining was detected in the cytoplasm of grouped cells scattered in tumour tissue, as reported previously (Olivero ). These findings present here agreed well with these previous results. Therefore, we used different criteria to classify HGF and c-Met staining, respectively. We then evaluated the rate of tumour proliferation using the Ki-67 labeling index (Gerde ; Scagliotti ). Ki-67 antibody recognizes the nuclear antigen expressed during G1, S, G2, and M phases of the cell cycle and not during the resting (G0) phase. The present study demonstrated significant association between the Ki-67 index and both stromal HGF and intratumoral c-Met expression. However, there was no correlation between the Ki-67 index and intratumoral HGF expression, as demonstrated by the low percentage of high Ki-67 index tumours among stromal HGF and intratumoral c-Met-negative NSCLCs. In addition, the frequency of intratumoral c-Met-positive tumours was significantly higher for T2–4 tumours than for T1 tumours. These results indicated that the interaction between stromal cell-derived HGF and tumour cell-derived c-Met promote tumour cell proliferation in a paracrine manner. To our knowledge, this study is the first clinical report on NSCLCs that demonstrates a correlation between the HGF/c-Met pathway and tumour growth through tumour–stromal interaction, as similarly reported for breast cancers (Edakuni ). The HGF/c-Met pathway is reported to be associated with angiogenesis (Bussolino ), which is considered to be essential for tumour growth and metastasis (Folkman, 1990, 1995). Our previous studies revealed that tumour vascularity in NSCLCs is associated with intratumoral expression of VEGF-A (Masuya ), interleukin-8 (Masuya ), neural-cadherin (Nakashima ), and that tumour vascularity is correlated with the survival rate of NSCLC patients (Nakashima ). However, the present study did not show a correlation between the HGF/c-Met pathway and tumour vascularity in NSCLCs. Previous clinical studies have reported that overexpression of HGF and/or c-Met is associated with the survival rate of patients with malignant tumours, including NSCLCs (Ichimura ; Takanami ; Siegfried ), breast cancers (Edakuni ), and thyroid cancers (Ramirez ). However, few studies on NSCLCs have evaluated both HGF and c-Met expression, and distinguished tumour cell derived-expression from stromal cell-derived expression. The present study demonstrates that the survival rate for patients with intratumoral c-Met-positive tumours is significantly lower than that of patients with intratumoral c-Met-negative tumours, and that the survival rate for patients with tumours with both positive expression of intratumoral c-Met and stromal HGF is significantly lower than that for patients with tumours with either positive expression, or with tumours with both negative expression. Although a multivariate analysis using intratumoral c-Met status and tumour status was not proper because of tumour status depending on intratumoral c-Met expression, a univariate analysis using the Cox regression model demonstrated that intratumoral c-Met status had a significant effect on the prognosis of NSCLC patients. These results agreed with a previous clinical study on breast cancers (Edakuni ). In conclusion, the present study on NSCLCs has demonstrated that intratumoral c-Met and stromal HGF expression promote tumour growth. Furthermore, intratumoral c-Met expression is a potent prognostic factor of NSCLC patients. A recent study reported that c-Met can also be activated by semaphoring 4D to trigger invasive cell growth (Giordano ). Although further studies are necessary to clarify these mechanisms (Trusolino ), these studies on the HGF/c-Met pathway will aid the development of new therapeutic strategies for the treatment of NSCLC cancer patients. For example, the HGF antagonist NK4 suppresses tumour growth and could improve the clinical outcome of patients with carcinomas that exhibit overexpression of HGF and/or c-Met (Date ; Kuba ).
  35 in total

1.  What is the evidence that tumors are angiogenesis dependent?

Authors:  J Folkman
Journal:  J Natl Cancer Inst       Date:  1990-01-03       Impact factor: 13.506

2.  Revisions in the International System for Staging Lung Cancer.

Authors:  C F Mountain
Journal:  Chest       Date:  1997-06       Impact factor: 9.410

3.  Over-expression of hepatocyte growth factor/scatter factor (HGF/SF) and the HGF/SF receptor (cMET) are associated with a high risk of metastasis and recurrence for children and young adults with papillary thyroid carcinoma.

Authors:  R Ramirez; D Hsu; A Patel; C Fenton; C Dinauer; R M Tuttle; G L Francis
Journal:  Clin Endocrinol (Oxf)       Date:  2000-11       Impact factor: 3.478

4.  Molecular cloning and expression of human hepatocyte growth factor.

Authors:  T Nakamura; T Nishizawa; M Hagiya; T Seki; M Shimonishi; A Sugimura; K Tashiro; S Shimizu
Journal:  Nature       Date:  1989-11-23       Impact factor: 49.962

5.  Co-expression of hepatocyte growth factor and its receptor in human prostate cancer.

Authors:  S Kurimoto; N Moriyama; S Horie; M Sakai; S Kameyama; Y Akimoto; H Hirano; K Kawabe
Journal:  Histochem J       Date:  1998-01

6.  Inhibition of tumor growth and invasion by a four-kringle antagonist (HGF/NK4) for hepatocyte growth factor.

Authors:  K Date; K Matsumoto; K Kuba; H Shimura; M Tanaka; T Nakamura
Journal:  Oncogene       Date:  1998-12-10       Impact factor: 9.867

Review 7.  Angiogenesis in cancer, vascular, rheumatoid and other disease.

Authors:  J Folkman
Journal:  Nat Med       Date:  1995-01       Impact factor: 53.440

8.  Scatter factor: molecular characteristics and effect on the invasiveness of epithelial cells.

Authors:  K M Weidner; J Behrens; J Vandekerckhove; W Birchmeier
Journal:  J Cell Biol       Date:  1990-11       Impact factor: 10.539

9.  Overexpression and activation of hepatocyte growth factor/scatter factor in human non-small-cell lung carcinomas.

Authors:  M Olivero; M Rizzo; R Madeddu; C Casadio; S Pennacchietti; M R Nicotra; M Prat; G Maggi; N Arena; P G Natali; P M Comoglio; M F Di Renzo
Journal:  Br J Cancer       Date:  1996-12       Impact factor: 7.640

10.  Hepatocyte growth factor is a potent angiogenic factor which stimulates endothelial cell motility and growth.

Authors:  F Bussolino; M F Di Renzo; M Ziche; E Bocchietto; M Olivero; L Naldini; G Gaudino; L Tamagnone; A Coffer; P M Comoglio
Journal:  J Cell Biol       Date:  1992-11       Impact factor: 10.539

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  59 in total

1.  MET-dependent cancer invasion may be preprogrammed by early alterations of p53-regulated feedforward loop and triggered by stromal cell-derived HGF.

Authors:  Chang-Il Hwang; Jinhyang Choi; Zongxiang Zhou; Andrea Flesken-Nikitin; Alexander Tarakhovsky; Alexander Yu Nikitin
Journal:  Cell Cycle       Date:  2011-11-15       Impact factor: 4.534

2.  Biomarker analyses from a placebo-controlled phase II study evaluating erlotinib±onartuzumab in advanced non-small cell lung cancer: MET expression levels are predictive of patient benefit.

Authors:  Hartmut Koeppen; Wei Yu; Jiping Zha; Ajay Pandita; Elicia Penuel; Linda Rangell; Rajiv Raja; Sankar Mohan; Rajesh Patel; Rupal Desai; Ling Fu; An Do; Vaishali Parab; Xiaoling Xia; Tom Januario; Sharianne G Louie; Ellen Filvaroff; David S Shames; Ignacio Wistuba; Marina Lipkind; Jenny Huang; Mirella Lazarov; Vanitha Ramakrishnan; Lukas Amler; See-Chun Phan; Premal Patel; Amy Peterson; Robert L Yauch
Journal:  Clin Cancer Res       Date:  2014-03-31       Impact factor: 12.531

3.  MET is a predictive factor for late recurrence but not for overall survival of early stage hepatocellular carcinoma.

Authors:  Young Wha Koh; Yang-Soon Park; Hyo Jeong Kang; Ju Hyun Shim; Eunsil Yu
Journal:  Tumour Biol       Date:  2015-02-10

Review 4.  Targeting MET in cancer: rationale and progress.

Authors:  Ermanno Gherardi; Walter Birchmeier; Carmen Birchmeier; George Vande Woude
Journal:  Nat Rev Cancer       Date:  2012-01-24       Impact factor: 60.716

Review 5.  Genomics of lung cancer may change diagnosis, prognosis and therapy.

Authors:  László Kopper; József Tímár
Journal:  Pathol Oncol Res       Date:  2005-03-31       Impact factor: 3.201

6.  Co-overexpression of Met and hepatocyte growth factor promotes systemic metastasis in NCI-H460 non-small cell lung carcinoma cells.

Authors:  Roya Navab; Jiang Liu; Isolde Seiden-Long; Warren Shih; Ming Li; Bizhan Bandarchi; Yan Chen; Davina Lau; Yen-Fen Zu; Dave Cescon; Chang Qi Zhu; Shawna Organ; Emin Ibrahimov; Dina Ohanessian; Ming-Sound Tsao
Journal:  Neoplasia       Date:  2009-12       Impact factor: 5.715

Review 7.  Following up tumour angiogenesis: from the basic laboratory to the clinic.

Authors:  José L Orgaz; Beatriz Martínez-Poveda; Nuria I Fernández-García; Benilde Jiménez
Journal:  Clin Transl Oncol       Date:  2008-08       Impact factor: 3.405

Review 8.  Modulation of c-Met signaling and cellular sensitivity to radiation: potential implications for therapy.

Authors:  Vikas Bhardwaj; Tina Cascone; Maria Angelica Cortez; Arya Amini; Jaden Evans; Ritsuko U Komaki; John V Heymach; James W Welsh
Journal:  Cancer       Date:  2013-02-19       Impact factor: 6.860

9.  Aberrations of MET are associated with copy number gain of EGFR and loss of PTEN and predict poor outcome in patients with salivary gland cancer.

Authors:  Tobias Ach; Katharina Zeitler; Stephan Schwarz-Furlan; Katharina Baader; Abbas Agaimy; Christian Rohrmeier; Johannes Zenk; Martin Gosau; Torsten E Reichert; Gero Brockhoff; Tobias Ettl
Journal:  Virchows Arch       Date:  2012-12-15       Impact factor: 4.064

10.  Variation in the expression levels of predictive chemotherapy biomarkers in histological subtypes of lung adenocarcinoma: an immunohistochemical study of tissue samples.

Authors:  Yuichi Fujimoto; Shinsaku Togo; Miniwan Tulafu; Kazue Shimizu; Takuo Hayashi; Toshimasa Uekusa; Yuichirou Honma; Yukiko Namba; Kazuya Takamochi; Shiaki Oh; Kenji Suzuki; Kazuhisa Takahashi
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01
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