Until the 1980s, gastric cancer was one of the most frequent tumours in the world
and the leading cause of cancer death (Parkin et al, 1999). In recent decades, the
incidence has declined, but the prognosis of gastric cancer in the Western countries
has not improved, the 5-year survival being 20–30% (Hundahl et al, 2000; Greenlee
et al, 2001). Surgical resection is the most powerful tool to improve prognosis, whereas
the major problem is delayed diagnosis resulting in advanced disease. In most American
and European series, almost 60% of operated patients have pathological tumour (pT)
stages 3 and 4. Screening programmes are not usually performed due to their high cost
and minimal benefit in decreasing mortality rates (Lacueva and Calpena, 2001).
In curatively resected patients, the biologic nature of the tumour determines survival
since almost half will die from recurrent cancer (Averbach and Jacquet, 1996). The
poor prognosis of patients with recurrent disease is due to the lack of an effective
rescue treatment. In fact, the number of patients with recurrent gastric cancer in
which it is feasible to perform curative surgery is less than 4% (Yoo et al, 2000).
It seems necessary to evaluate new biological markers that may predict the natural
history of the disease as a guide to treatment. Newer tumour markers include tumour
suppressor gene p53, vascular endothelial growth factors (VEGFs), and microvessel
density (MVD) as a measure of new blood vessel growth or angiogenesis. Without blood
vessels, tumours cannot grow beyond a critical mass nor create metastases (Castells
and Rustgi, 2003). A hypoxic environment and genetic instability in the centre of
the tumour allows the evolution of cellular clones with the loss of p53 function.
These cells have a lower apoptotic rate and produce angiogenic factors like VEGF,
inducing new vasculature (Harris, 1997). These factors might provide information to
help predict the prognosis of patients with gastric cancer. However, the prognostic
value of p53 expression in these patients is controversial (Gabbert et al, 1995),
although it has been related to the development of higher MVD (Maehara et al, 2000b).
The expression of VEGF has been associated with vascular invasion, liver metastases
(Takahashi et al, 1996), and lymph node metastases (Maeda et al, 1996). Inhibition
of the VEGF pathway using monoclonal antibodies has shown potent antitumour effects
in animal models (Witte et al, 1998), and this might be a new approach to treat these
patients in the future.
The use of adjuvant chemotherapy in gastric cancer is still controversial and has
been reviewed in several meta-analyses (Hermans et al, 1993; Earle and Maroun, 1999).
One review concluded that adjuvant chemotherapy produced marginal benefit in the survival
of curatively resected patients (Earle and Maroun, 1999), but it is clearly necessary
to find more effective treatments. Differing responses to chemotherapy may be due
to biological characteristics of the tumour such as p53 status, since p53-dependent
apoptosis modulates the cytotoxic effects of antitumour agents such as 5-fluorouracil,
doxorubicin, and cisplatin (Chin et al, 1992; Lowe et al, 1993), commonly used as
adjuvant therapy. Knowing the p53 status of the individual patient might allow us
to select those cases most likely to respond to adjuvant therapy.
The aim of this study was (1) to investigate whether MVD as well as p53 expression
and VEGF expression are independent prognostic factors for patients with gastric cancer
undergoing curative gastrectomy, and (2) to evaluate their predictive value for clinical
outcome following adjuvant chemotherapy.
PATIENTS AND METHODS
A consecutive series of 206 patients with primary gastric cancer received surgical
treatment at our hospital between January 1989 and October 1998. The mean age was
67±12 years (range: 23–93 years), and 130 (63%) patients were male. Of them, 164 (80%)
patients underwent potentially curative resection (R0 resection following UICC criteria18),
defined as macroscopically and microscopically complete removal of the tumour on intraoperative
and histopathologic evaluation. Eight patients (5%) died within 60 days after surgical
treatment and were excluded from this analysis. Accordingly, 156 patients constituted
the basis of the study.
The characteristics of patients included in the study are shown in Table 1
Table 1
Demographic, clinical, and tumor characteristics of patients included in the study
(n=156)
Age (years)
<70
88 (56%)
⩾70
68 (44%)
Gender
Male
101 (65%)
Female
55 (35%)
Tumour location
Cardiac fundus
11 (7%)
Body
62 (40%)
Antrum pylorus
80 (51%)
Diffuse
3 (2%)
Lauren classification
Intestinal
97 (62%)
Diffuse
59 (38%)
Tumour size (mm)
54±27
Degree of differentiation
Well
6 (4%)
Moderate
73 (47%)
Poor
77 (49%)
Signet-ring cell-type tumours
41 (26%)
pT stage
a
T1
28 (18%)
T2
75 (48%)
T3
51 (33%)
T4
2 (1%)
pN stage
a
N0
66 (42%)
N1
54 (35%)
N2
33 (21%)
N3
3 (2%)
Lymph-node ratio
b
0
66 (42.3%)
<30%
48 (30.8%)
⩾30%
42 (26.9%)
Lymphatic invasion
44 (28.2%)
Vascular invasion
17 (10.9%)
Perineural invasion
20 (12.8%)
pM stage
a
M0
151 (96.8%)
M1
5 (3.2%)
pTNM tumor stage
a
IA
19 (12.2%)
IB
39 (25%)
II
42 (26.9%)
IIIA
27 (17.3%)
IIIB
21 (13.5%)
IV
8 (5.1%)
a
According to the 5th edition of the tumour-node metastasis classification of the International
Union Against Cancer (UICC)18.
b
Number of affected lymph nodes divided by the total number of lymph nodes.
pT=pathological tumour; pTNM=pathological tumour node metastasis. pN=pathological
lymph node; pM=pathological metastasis.
. Staging and grading were referred to the fifth edition of the tumour-node metastasis
(TNM) classification of the International Union Against Cancer (UICC) (Sobin and Fleming,
1997). Accordingly, 19 patients (12%) were classified as UICC stage IA, 39 (25%) as
stage IB, 42 (27%) as stage II, 27 (17%) as stage IIIA, 21 (13%) as stage IIIB, and
eight (5%) as stage IV.
The surgical technique in this group was as follows: 76 subtotal gastrectomies (49%),
77 total gastrectomies (49%), and three stump gastrectomies (2%). Based on the decision
of the surgeon, 50 (32%) patients had a D1 lymphadenectomy, including the first-level
lymph nodes (paracardial, major and minor curvature, supra-, and infrapyloric) and
106 (68%) patients had a D2 lymphadenectomy, in which the second-level nodes (left
gastric artery, hepatic artery, celiac trunk, splenic hilum, and splenic artery) were
also excised. Splenectomy to ensure complete resection of the tumour was performed
in 49 patients (31%). A perioperative histological frozen section of the resection
margin was always performed to rule out tumour invasion.
In all, 103 patients (66%) received adjuvant chemotherapy based on either mitomycin
C (10–20 mg/ m2 i.v. every 6 weeks) (n=38) or mitomycin C (10–20 mg/ m2 i.v. on day
1 every 6 weeks) plus tegafur (500 mg /m2 day1 for 36 consecutive days) (n=65). The
courses were repeated four times as reported previously (Grau et al, 1998).
Follow-up
Patients were followed up at 3-month intervals over the first 2 years, and at 6-month
intervals thereafter. Medical work-up consisted of history and physical examination,
haematology and biochemical tests, including serum carcinoembryonic antigen, carbohydrate
antigen 19-9, and tissue-associated glycoprotein 72-4 concentration, and chest radiography,
abdominal ultrasonography, and endoscopy. If local tumour recurrence and/or metastasis
were suspected, the confirmation of the diagnosis by biopsy or a second surgical exploration
was attempted.
Immunohistochemical methods
Paraffin-embedded tissue blocks of formalin-fixed surgically resected samples were
processed for conventional histological study and for immunohistochemical analysis.
Immunohistochemical studies were performed using the automated immunohistochemical
system TechMate 500 (Dako, Carpinteria, CA, USA), using the EnVision system (Dako).
Briefly, 4 μm-thick sections were deparaffinised and hydrated through graded alcohol
and water. Peroxidase was blocked for 7.5 min in ChemMate peroxidase-blocking solution
(Dako). Then the slides were incubated with the primary antibodies for 30 min and
washed in ChemMate buffer solution (Dako). The peroxidase-labelled polymer was then
applied for 30 min. After washing in ChemMate buffer solution, the slides were incubated
with the diaminobenzidine substrate chromogen solution, washed in water, counterstained
with haematoxylin, washed, dehydrated, and mounted. Antigen retrieval was performed
in citrate buffer, pH 6.0, in a pressure cooker. The following antibodies were used
in this study: monoclonal antibody against p53 (clone BP53-12 at a 1 : 50 dilution,
Novocastra, Newcastle upon Tyne, UK), polyclonal antibody against VEGF (clone A-20
at a 1 : 300 dilution, Santa Cruz Biotechnology, Santa Cruz, CA, USA), and a monoclonal
antibody against the CD34 antigen (clone QBEnd/10 at a 1 : 200 dilution; Novocastra,
Newcastle upon Tyne, UK).
p53 staining analysis
Using a light microscope, a visual grading system based on the number of positively
stained nuclei of the malignant cells in each tissue was used (Figure 1
Figure 1
Diffuse-type gastric cancer with signet ring nucleus. (A and B) No expression of p53.
(C and D) Intense staining in the irregular nucleus of tumour cells.
). If 10% or more of the malignant nuclei were stained, the slide was scored as positive.
If fewer than 10% of the nuclei were stained, the slide was scored as negative, in
accordance with other authors (Kakeji et al, 1993; Maehara et al, 1999). All specimens
were analysed by two separate investigators (CF and AV) who were blinded to all clinical
information. Conflicts in scores were resolved by consensus.
VEGF staining analysis
Vascular endothelial growth factor immunostaining was considered to be positive when
unequivocal cytoplasmic staining was seen in the tumour cells, regardless of the number
of cells stained. Vascular endothelial growth factor expression was analysed in the
invasive front of the tumour away from the tumour centre where necrosis and hypoxia
may induce VEGF expression. The intensity of staining for VEGF was graded as follows:
−, no detectable expression; +, moderate stain; ++, strongest stain under a × 250
field (Figure 2
Figure 2
Two samples of gastric tumours with expression of VEGF: A (+), B (++). The VEGF appears
in the cytoplasm of cells. In (B) the intensity is higher than in (A). The evaluation
was carried out in the tumour margins far from the tumour centre where the hypoxia
can induce VEGF expression.
). As described by Inoue et al (1997), we used smooth muscle cells as a positive internal
control. Two different investigators (CF and AV) assessed the degree of staining without
knowledge of the clinical data.
Microvessel staining and counting
Quantitative vessel counts were performed by the method described by Weidner and assessed
by international consensus (Vermeulen et al, 1996). The entire tumour sections were
systematically scanned at × 40 magnification to find the areas of most intense neovascularisation
or hot spots. These were identified as having the highest density of brown staining,
CD34-positive cells, or cell clusters. For each slide, the most vascular areas within
the tumour mass were chosen (Figure 3
Figure 3
Evaluation of tumour angiogenesis. Identification of external border of tumour growth
at × 40 (A) and × 100 (B) magnification field: I (desmoplastic stroma), II (infiltration
zone), and III (tumour). At × 250 magnification field (C and D), it is possible to
appreciate the differences in the degree of MVD between tumours.
). A × 250 field in these areas was counted, and the average counts of the fields
were recorded. If multiple vascular hot spots were present, counts were performed
in each hot spot. Microvessels were defined as a discrete CD34-positive endothelial
cell aggregate, with or without definable lumina. The microvessels were counted by
two investigators (CF and AV) who had no knowledge of the other prognostic factors
and/or clinical outcomes.
Statistical methods
The relationship between tumour MVD, p53 expression, and VEGF expression, as well
as their correlation with clinicopathological parameters were evaluated by the χ
2 test. The length of follow-up was described as the mean, 95% confidence interval
(95% CI), and range. The impact of single parameters on prognosis (tumour recurrence,
disease-free survival, and overall survival) was determined by both univariate and
multivariate approaches. Tumour recurrence was evaluated by means of logistic regression
analysis. Probabilities of disease-free survival and overall survival were calculated
according to the Kaplan–Meier method and compared with the log-rank test. Variables
achieving a significance level of P⩽0.1 in the univariate analysis were subsequently
introduced in a forward stepwise proportional-hazard analysis (Cox's model) to identify
those variables independently associated with survival. Disease-free survival was
established from the time of surgery to the date when recurrence or death was detected.
Overall survival was established from the date of surgery to death from any cause
or the date of the last follow-up visit. In both cases, patients who were event free
at the end of follow-up were censored at that time. For continuous variables (i.e.
MVD and lymph node ratio), the cut-off level chosen was their median value. Vascular
endothelial growth factor categories were reclassified as negative and positive (including
moderate and strong staining) for statistical purposes. Variables actually reflecting
a combination of independent parameters (i.e. TNM stage) were not included in the
multivariate analysis as a single covariable, but rather decomposed in the corresponding
original counterparts (T, N, and M components). All statistical analyses were performed
two-sided at a significance level of P=0.05, using the statistical package SPSS (SPSS
Inc., Chicago, IL, USA).
RESULTS
After a mean follow-up of 43 months (95% CI: 37–49 months; range: 2–191 months), 64
(41%) patients had died, the probability of survival being 69 and 54% at 2 and 5 years,
respectively. A total of 50 patients died because of tumour progression and 14 due
to other causes. In all, 55 (35%) patients developed tumour recurrence, 33 of whom
presented as locoregional relapse, 12 as distant metastases (eight in liver, three
in lung, and one in bone), nine as peritoneal seeding, and one as stump. All but three
patients with tumour recurrence died from it.
Correlation between MVD, p53 expression, and VEGF expression
The median microvessel count was 98.9. (95% CI: 94.7–103.2), and this value was used
to dichotomise the series. p53 expression was detected in 71 (46%) patients (Table
2
Table 2
Distribution of tumour microvessel density, p53 expression, and VEGF expression in
patients included in the study (n=156)
Tumor microvessel density
<100
74 (47.4%)
⩾100
82 (52.6%)
p53 expression
Negative
85 (54.5%)
Positive
71 (45.5%)
VEGF expression
Negative
40 (25.6%)
Positive+
83 (53.2%)
Positive++
33 (21.2%)
VEGF=vascular endothelial growth factor.
). p53 protein expression was significantly associated with MVD ⩾100 (OR: 2.22, 95%
CI: 1.26–3.88; P=0.005).
Vascular endothelial growth factor expression was detected in 116 (74%) patients (Table
2). There was a significant association with MVD ⩾100 (OR: 2.65, 95% CI: 1.33–5.29;
P=0.005). There was no association between p53 and VEGF expression.
Correlation between MVD, p53 expression, and VEGF expression, and clinicopathological
characteristics
Neither p53 positivity nor VEGF expression was related to any of the clinicopathological
parameters reported in Table 1. On the contrary, a statistically significant association
was found between MVD ⩾100 and lymph node metastases (P<0.003). As shown in Table
3
Table 3
Correlation between tumour microvessel density and lymph node metastases
Tumor microvessel density
<100 (n=74)
⩾100 (n=82)
P-valuea
Lymph node ratio
b
0% (n=66)
40
26
<30% (n=48)
18
30
<0.02
⩾30% (n=42)
16
26
pN stage
c
N0 (n=66)
40
26
N1 (n=54)
19
35
<0.003
N2 (n=33)
13
20
N3 (n=3)
2
1
a
χ
2 test.
b
Number of affected lymph nodes divided by the total number of lymph nodes.
c
According to the 5th edition of the tumour-node-metastasis classification of the International
Union Against Cancer (UICC)18; pN=pathological lymph node.
, the lymph node ratio was also higher when MVD was elevated (P<0.02), as well as
the pN stage (P<0.003).
Tumour recurrence and disease-free survival
There were statistically significant associations between tumour recurrence and tumour
MVD ⩾100, p53 expression, and VEGF expression (Table 4
Table 4
Influence of tumour microvessel density, p53 expression, and VEGF expression on tumor
recurrence and disease-free survival (univariate analysis)
Tumour recurrencea
Disease-free survivalb
No
Yes
P-value
OR
95% CI
P-value
Microvessel density
<100
55 (74%)
19 (26%)
1c
⩾100
46 (56%)
36 (44%)
<0.02
2.26
1.15–4.47
0.05
p53 expression
Negative
61 (72%)
24 (28%)
1c
Positive
40 (56%)
31 (44%)
<0.05
1.96
1.01–3.83
0.09
VEGF expression
Negative
32 (80%)
8 (20%)
1c
Positive
69 (59%)
47 (40%)
<0.02
2.72
1.15–6.43
<0.02
a
Logistic regression; OR=odds ratio; 95% CI=95% confidence interval; VEGF=vascular
endothelial growth factor.
b
Log-rank test.
c
Reference category.
). Other significant parameters found in the univariate analysis of tumour recurrence
were pT stage (P<0.0001), pN stage (P<0.0001), pTNM stage (P<0.0001), lymph node ratio
(P<0.0001), lymphatic invasion (P<0.0001), Lauren classification (P<0.005), signet-ring
cell-type tumours (P<0.013), degree of differentiation (P<0.008), and extent of lymphadenectomy
(P<0.0001).
Both MVD ⩾100 (P=0.05) and VEGF expression (P<0.02) were associated with a shorter
disease-free survival in the univariate analysis (Table 4). Other significant parameters
found in the analysis of disease-free survival were pT stage (P<0.0001), pN stage
(P<0.0001), pTNM stage (P<0.0001), lymph node ratio (P<0.0001), lymphatic invasion
(P<0.0001), Lauren classification (P<0.0039), signet-ring cell-type tumours (P<0.01),
degree of differentiation (P<0.0048), and extent of lymphadenectomy (P<0.0001). No
correlation between MVD, p53 expression, and VEGF expression, and the type of recurrence
(locoregional relapse vs distant metastases) was found.
The multivariate analysis identified lymph node ratio ⩾30%, D1 lymphadenectomy, p53
expression, and VEGF expression as independent predictors of tumour recurrence and
disease-free survival (Table 5
Table 5
Prognostic factors of tumour recurrence and disease-free survival (multivariate analysis)
Tumor recurrencea
Disease-free survivalb
No
Yes
P-value
OR
95% CI
P-value
Lymphadenectomy
D2
80 (75%)
26 (24%)
1c
D1
21 (42%)
29 (58%)
0.0005
6.93
2.33–20.55
<0.0001
Lymph node ratio
0
55 (83%)
11 (17%)
1c
<30%
32 (67%)
16 (33%)
0.06
3.11
0.95–10.16
0.13
⩾30%
14 (33%)
28 (67%)
<0.001
9.98
2.57–38.76
<0.005
p53 expression
Negative
61 (72%)
24 (28%)
1c
Positive
40 (56%)
31 (44%)
<0.02
3.36
1.29–8.74
<0.0005
VEGF expression
Negative
32 (80%)
8 (20%)
1c
Positive
69 (59%)
47 (40%)
<0.005
5.88
1.71–20.26
<0.02
a
Logistic regression; OR=odds ratio; 95% CI=95% confidence interval; VEGF=vascular
endothelial growth factor.
b
Cox's regression.
c
Reference category.
).
Overall survival
In the univariate analysis, factors influencing overall survival were pTNM stage (P<0.0001),
pT (P<0.0001), pN (P<0.0001), lymph node ratio (P<0.0001), signet-ring cell-type tumours
(P<0.01), degree of differentiation (P<0.005), Lauren classification (P<0.005), lymphatic
invasion (P<0.0001), perineural invasion (P<0.39), and extent of lymphadenectomy (P<0.0001).
In addition, VEGF expression was associated with a shorter overall survival (HR: 2.48,
95% CI: 1.16–5.28; P=0.01) (Figure 4
Figure 4
(A) Overall survival in patients with VEGF-negative and VEGF-positive tumours (P<0.02).
(B) Disease-free survival in patients with VEGF-negative and VEGF-positive tumours
(P<0.02).
). By contrast, neither p53 expression (HR: 1.61, 95% CI: 0.93–2.80; P=0.08) nor MVD
⩾100 (HR: 1.70, 95% CI: 0.95–3.02; P=0.07) reached statistical significance in this
analysis.
The multivariate Cox's regression analysis revealed that pT3 stage or higher, lymph
node ratio ⩾30%, D1 lymphadenectomy, the presence of perineural invasion, p53 expression,
and VEGF expression were independently associated with a shorter overall survival
(Table 6
Table 6
Prognostic factors of overall survival (multivariate analysis)a
Dead
Alive
HR
95% CI
P-value
pT stage
b
T1
4 (14%)
24 (86%)
1c
T2
16 (21%)
59 (79%)
1.18
0.37–3.78
0.77
T3
31 (58%)
22 (42%)
3.74
1.16–12.02
<0.03
Lymph node ratio
d
0
10 (15%)
56 (85%)
1c
<30%
14 (29%)
34 (71%)
2.95
1.14–7.66
<0.03
⩾30%
27 (64%)
15 (36%)
7.75
3.25–18.47
<0.0001
Lymphadenectomy
D2
24 (23%)
82 (77%)
1c
D1
27 (54%)
23 (46%)
4.40
2.30–8.44
<0.0001
Perineural invasion
Absence
44 (32%)
92 (68%)
1c
Presence
7 (35%)
13 (65%)
2.83
1.17–6.85
<0.03
p53 expression
Negative
23 (27%)
62 (73%)
1c
Positive
28 (39%)
43 (60%)
2.30
1.21–4.36
<0.02
VEGF expression
Negative
8 (20%)
32 (80%)
1c
Positive
43 (37%)
73 (63%)
2.99
1.34–6.67
<0.01
a
Cox's regression; HR=hazard ratio; 95 %CI=95% confidence interval; VEGF=vascular endothelial
growth factor; pT=pathological tumour.
b
According to the 5th edition of the tumor-node metastasis classification of the International
Union Against Cancer (UICC)18.
c
Reference category.
d
Number of affected lymph nodes divided by the total number of lymph nodes.
).
Influence of MVD, p53 expression, and VEGF expression on the clinical outcome of patients
receiving chemotherapy
The predictive value of MVD, p53 expression, and VEGF expression was also evaluated
in the subset of 103 patients who received adjuvant chemotherapy. As shown in Table
7
Table 7
Influence of tumour microvessel density, p53 expression, and VEGF expression on overall
survival following adjuvant chemotherapy
Patients receiving chemotherapy(n=103)
Patients not receiving chemotherapy (n=53)
n
Survival (%)a
P-value
n
Survival (%)a
P-value
Microvessel density
<100
45
76
0.58
29
31
⩾100
58
71
24
33
0.86
p53 expression
Negative
58
83
0.01
27
30
0.69
Positive
45
60
26
35
VEGF expression
Negative
33
82
0.16
7
43
0.52
Positive
70
69
46
30
a
Overall survival at 2 years, logistic regression. VEGF=vascular endothelial growth
factor.
, patients whose tumours did not show p53 expression had a higher probability of overall
survival than those whose tumours presented p53 expression (P=0.01). By contrast,
MVD and VEGF expression did not correlate with overall survival. Finally, neither
MVD nor p53 and VEGF expression predicted survival in patients who did not receive
chemotherapy (n=53).
DISCUSSION
Surgical resection is the mainstay of treatment for gastric cancer. However, the prognosis
after resection has remained unsatisfactory because of a high incidence of postoperative
recurrence. The identification of variables in gastric tumour biology might lead to
a more precise assessment of outcome and response to therapy. In the present study,
we investigated the potential prognostic value of MVD, p53 expression, and VEGF expression.
p53 expression was detected in 46% of patients, which falls within the range (40–60%)
of previously published gastric cancer series (Joypaul et al, 1994; Gabbert et al,
1995; Victorzon et al, 1996). Use of the immunohistochemical detection of p53 as a
prognostic marker has yielded conflicting results (Fenoglio-Preiser et al, 2003).
These discrepancies may, in part, be due to the limitations of p53 immunodetection.
In fact, p53 immunoreactivity correlates with the presence or absence of gene mutations
examined by direct sequencing in 50% of advanced gastric cancers when exons 5–9 are
examined (Tolbert et al, 1999). Technical issues can also contribute to divergent
results. In order to overcome these limitations, we followed a meticulous methodology
using monoclonal antibody BP53-12 that is similar to antibody DO7, antigen retrieval,
and a standard counting method.
In some studies, the expression of p53 was associated with a higher frequency of serosal,
vascular, and lymphatic invasion, increased lymph node metastases and, consequently,
a more advanced tumour stage (Kakeji et al, 1993; Kim et al, 1997; Monig et al, 1997;
Maehara et al, 1999). By contrast, other authors have not shown the association of
p53 expression with node metastases or serosal invasion (Baba et al, 1998; Maeda et
al, 1998). Our study agrees with these latter results, since p53 expression did not
correlate to a more advanced tumour stage. In agreement with these results, p53 mutations
have been found in 37% of patients with early gastric cancer (Uchino et al, 1993),
and p53 expression has even been detected in metaplastic gastric mucosa (Ochiai et
al, 1996). Thus, p53 inactivation may occur at an early stage of gastric carcinogenesis,
which explains our finding that p53 expression indicated a poor prognosis independent
of the lymph node ratio or the depth of invasion (pT). Finally, the worse prognosis
of patients whose tumours expressed p53 may actually reflect a higher tendency to
recur. In our study, the recurrence rate in p53-negative patients was 28% compared
to 44% in p53 positive patients (P<0.05). Similar findings have been reported in Japanese
series (Maeda et al, 1996; Maehara et al, 1999).
The prognostic role of tumour angiogenesis was also investigated following a methodology
accepted internationally (Vermeulen et al, 1996). We used a monoclonal antibody against
adhesion molecule CD34 to stain the vascular endothelium, which was found to be superior
to other markers (Tanigawa et al, 1996; Tanigawa et al, 1998). Our study confirm's
the results of (Maeda et al, 1995) and (Xiangming et al, 1998) showing that MVD correlates
with lymph node metastases in gastric cancer, as in esophageal cancer (Igarashi et
al, 1998). MVD was also associated with a higher recurrence rate and a shorter disease-free
survival in the univariate analysis. However, this association was not statistically
significant in the multivariate regression analysis probably due to the positive correlation
between MVD and both p53 expression and VEGF expression. The predictive value of MVD
has also been suggested in other studies in which a higher MVD was associated with
the development of distant metastases (Tanigawa et al, 1996) or bone marrow micrometastases
(Maehara et al, 1998). Similarly, experimental studies using antiangiogenic agents,
such as TNP-470, have shown effectiveness in decreasing tumour proliferative activity
and inhibiting the development of liver and peritoneal metastases (Kanai et al, 1997;
Yoshikawa et al, 2000). These findings reinforce the relationship between tumour angiogenesis
and the spread of metastases.
Tumour angiogenesis is a complex, highly regulated process depending on the balance
between activator and inhibitor factors (Castells and Rustgi, 2003). Vascular endothelial
growth factor is a powerful and specific inducer of new vasculature in several neoplasms.
In our study, MVD correlated with VEGF expression in tumour cells, in accordance with
Maeda et al (1996). We used a standardised method to detect VEGF expression. Our patients
were classified into two categories, by the presence or absence of staining reaction.
We decided to consider cases as positives or negatives independent of the intensity
of the staining. This fact can justify the relatively low proportion of patients whose
tumours were considered negative for VEGF (25.6%) in the present study, which is similar
to that recently reported in other series (Song et al, 2002; Joo et al, 2003).
Vascular endothelial growth factor induces the formation of new immature vessels,
with basal membrane holes, favouring the progression of tumour cells into the vascular
space. VEGF expression in gastric cancer has been associated with various clinicopathological
parameters such as degree of differentiation (Tanigawa et al, 1997), intestinal-type
tumours (Takahashi et al, 1996), lymphatic invasion, and vascular invasion (Maeda
et al, 1996). Maehara et al (2000a) demonstrated that VEGF expression was an independent
risk factor for vascular invasion that might account for a large number of metastases.
This correlation was not observed in our series, but it should be taken into account
that it corresponded to curatively resected patients who had a lower probability of
metastatic dissemination. However, although VEGF expression was not associated with
any tumour-related characteristic in our study, similar as in the series of Baba et
al (1998), this parameter had an independent predictive value with respect to tumour
recurrence, disease-free survival, and overall survival. These results suggest that
VEGF expression might be a useful and powerful prognostic marker in patients with
gastric cancer operated on for cure.
In the multivariate analysis, p53 expression and VEGF expression were independent
prognostic factors. Similarly, concurrence of p53 expression and VEGF expression occurred
in only 38% of patients, and there was no correlation between both markers. Our results
indicate that p53 and VEGF expression are important factors to upregulate tumour angiogenesis.
Whereas the role of VEGF as an inductor of angiogenesis is well known, the mechanism
of p53 to do so is not as well established. A few experimental studies have been published
linking p53 and angiogenesis. Kieser et al (1994) demonstrated that mutant p53 potentiates
protein kinase C induction of VEGF, then promoting the development of new vasculature.
Supporting these findings, Mukhopadhyay et al (1995) showed that wild-type p53 downregulated
endogenous VEGF mRNA level, as well as VEGF promoter activity, whereas mutant forms
of p53 had no effect. The authors suggested that wild-type p53 may play a role in
suppressing angiogenesis. These experimental results contrast with those observed
in clinical series. In fact, our results suggest that p53 and VEGF regulate tumour
angiogenesis in patients with gastric cancer, but they do not support the fact that
p53 stimulates the appearance of new vasculature by enhancing the expression of VEGF.
Reviewing the literature, we found three clinical studies with similar findings as
ours, confirming that the expression of p53 does not correlate with VEGF expression
in gastric cancer patients (Baba et al, 1998; Giatromanolaki et al, 2000; Joo et al,
2002).
Preliminary studies suggested that the determination of p53 status and angiogenesis
may be useful to predict response to chemotherapy. Indeed, p53 gene inactivation by
either mutation or deletion often results in resistance to antineoplastic drugs. In
these in vitro studies, gastric and esophageal cancer cells with p53 expression were
resistant to 5-fluorouracil, mitomycin-C, and cisplatin (Lowe et al, 1994; Nabeya
et al, 1995). Two clinical studies have evaluated the influence of p53 status in patients
with locally advanced gastric cancer receiving neoadjuvant treatment. In one of them,
patients with negative p53 expression had a greater tumour response to chemotherapy
using 5-fluorouracil (72 vs 12%, P<0.004) (Cascinu et al, 1998). Similarly, the second
study found that p53-negative and VEGF-positive patients responded better to chemotherapy
with 5-fluorouracil and cisplatin (Boku et al, 1998). Finally, Diez et al (2000) reported
in a series of 46 patients with gastric cancer receiving adjuvant chemotherapy that
the absence of p53 overexpression was associated with longer survival. In agreement
with these observations, we demonstrated that chemotherapy was less effective in patients
whose tumours showed p53 expression, whereas MVD and VEGF expression did not have
any predictive value in these settings. To our knowledge, this is the largest series
assessing the relationship of p53 alteration to clinical outcome following adjuvant
chemotherapy in gastric cancer, and its results may have noteworthy clinical implications.
In conclusion, this study shows that the expression of p53, VEGF, and a higher MVD
are associated with tumour recurrence in gastric cancer patients resected with curative
intent. The expression of p53 protein and VEGF are independent prognostic factors
of disease-free and overall survival in gastric cancer patients having resection with
curative intent. When tumour cells express p53 protein, the therapeutic efficacy of
adjuvant chemotherapy is lost. Further studies are required to evaluate the potential
clinical applications in the management of patients with gastric cancer.