# Tumor Size Is a Critical Factor in Adjuvant Chemotherapy for T3-4aN0M0 Gastric Cancer Patients after D2 Gastrectomy

Authors: Shi Chen; Li-Ying Ou-Yang; Run-Cong Nie; Yuan-Fang Li; Jun Xiang; Zhi-Wei Zhou; Ying-Bo Chen; Jun-Sheng Peng
Journal: Gastroenterology Research and Practice
 (2017)

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## Abstract

Aim
. To investigate whether tumor size is a reasonable indication for adjuvant chemotherapy for T3-4aN0M0 gastric cancer patients after D2 gastrectomy. Method. We performed a retrospective study of 269 patients with a histological diagnosis of T3-4aN0M0 stage gastric cancer who underwent D2 radical surgery at the Sun Yat-sen University Cancer Center or the Sixth Affiliated Hospital of Sun Yat-sen University between January 2006 and December 2010. The follow-up lasted until June of 2015. Chi-square tests and Kaplan-Meier methods were employed to compare the clinicopathological variables and prognoses. Result. For this group of patients, univariate analyses revealed that tumor size (p<0.001), pathological T stage (p<0.001), and tumor location (p=0.025) were significant prognostic factors. Adjuvant chemotherapy did not exhibit prognostic benefits. For patients with tumors larger than 5 cm, univariate analysis revealed that tumor location (p=0.007), Borrmann type (p=0.039), postoperative chemotherapy (p=0.003), and pathological T stage (p<0.001) were significant prognostic factors. Multivariate analysis revealed that postoperative chemotherapy and pathological T stage were independent prognostic factors. Conclusion. Our results imply that tumor size should be a critical factor in the decision to utilize adjuvant chemotherapy for T3-4aN0M0 gastric cancer patients after D2 gastrectomy. Additional randomized controlled trials are required before this conclusion can be considered definitive.


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## Body

## 1. Background

Gastric cancers are the fourth most common malignancies worldwide, and they are the second most lethal [1–3]. Gastrectomy with D2 lymphadenectomy is recommended as a standard surgery for gastric cancer patients and results in improved overall survival [4–6]. Moreover, adjuvant chemotherapy has been proven to improve the overall survival of advanced gastric cancer patients after D2 gastrectomy [7, 8]. However, for N0 patients, particularly T3 and T4a patients, the use of adjuvant chemotherapy remains controversial. Although N0-group patients were not found to benefit from adjuvant chemotherapy in an ACTS trial, stage II gastric cancer patients without lymph node metastases were not separately analyzed, and there were only 112 patients in the N0 group [7]. Moreover, in the CLASSIC trial, the N0 group also exhibited no survival benefit following adjuvant chemotherapy [8]. Thus, the question of how to select N0 patients for adjuvant chemotherapy, particularly stage II patients, remains unresolved. The role of postoperative chemotherapy in T3-T4a gastric cancer patients is still controversial. In addition to TNM stage, other risk factors should be identified for this patient group to select for whom postoperative chemotherapy would be beneficial. Tumor size is also an important characteristic of gastric cancer, and we found that it was an informative factor for chemotherapy selection.Tumor size is another factor that can be evaluated in gastric cancer patients, although it is not listed in the staging systems of the UICC or JGCA for gastric cancer [9, 10]. Obviously, larger tumors are more advanced. In the present study, we performed a retrospective analysis that focused on these N0-group gastric cancer patients, compared the prognoses according to different tumor size groups, and attempted to determine the prognostic value of tumor size in relation to adjuvant chemotherapy.


## 2. Materials and Methods

### 2.1. Ethics Statement

All of the patients provided written informed consent for their information to be stored in a hospital database. We obtained separate consent for the use of this information for research. Study approval was obtained from independent ethics committees at the Sixth Affiliated Hospital of Sun Yat-sen University and the Cancer Center of Sun Yat-sen University. This study was undertaken in accordance with the ethical standards of the World Medical Association Declaration of Helsinki.


### 2.2. Patient Inclusion and Exclusion Criteria

The inclusion criteria were as follows: (1) WHO performance status of 0 to 1; (2) histologically proven T3-4 adenocarcinoma of the stomach without evidence of lymph node metastasis; (3) no prior gastric surgery; (4) no previous radiotherapy or other treatments, including immunotherapy or traditional Chinese medicine; and (5) no synchronous or metachronous cancers.


### 2.3. Chemotherapy

Various chemotherapeutic regimens were considered in our research: 36 patients received Xeloda (1000 mg/m2, D1–14, Q3W, cycles: 5.67 ± 1.15); 67 patients received the XELOX regimen (oxaliplatin: 130 mg/m2 D1 + Xeloda 1000 mg/m2, D1–14, Q3W, cycles: 5.53 ± 1.55); and 44 patients received the FOLFOX regimen (oxaliplatin: 85 mg/m2 D1 + CF 400 mg/m2 D1 + 5-Fu 2800 mg/m2, D1-D2, Q2W, cycles: 8.52 ± 1.57). Of another 33 patients, 14 received the S-1 regimen (40–60 mg, bid, D1–14, Q3W, cycles: 5.71 ± 1.43); 13 received the CX regimen, (cisplatin: 60 mg/m2 D1 + Xeloda 1000 mg/m2, D1–14, Q3W, cycles: 4.92 ± 1.50); 5 received the SOX regimen (oxaliplatin: 85 mg/m2 D1 + S-1 1000 mg/m2, 40–60 mg, bid, D1–14, Q3W, cycles: 4.92 ± 1.50); and one received the DX regimen (docetaxel: 75 mg/m2 D1 + Xeloda 1000 mg/m2, D1–14, Q3W, cycles: 5).


### 2.4. Patient Characteristics

From January 2006 to December 2010, 269 consecutive patients with a histological diagnosis of T3-4N0 gastric cancer who underwent D2 radical surgery at the Sixth Affiliated Hospital of Sun Yat-sen University or the Sun Yat-sen University Cancer Center were included in this study. We divided the patients according to tumor size. We analyzed the ROC curve data and considered two balanced arms, selecting 5 cm as the cutoff value (Figure1). Patients with gastric tumors of less than 5 cm were included in the small gastric cancer group, and patients with tumors greater than 5 cm were included in the large gastric cancer group. The clinicopathological factors are presented in Table 1.Figure 1
The AUC was 0.751, and the largest Youden index was 0.398, corresponding to a tumor size of 4.75 cm. However, we believed that, in the clinic, 5 cm is a more appropriate cut-off value for doctors seeking to decide whether the patient should receive postoperative chemotherapy.Table 1
Clinical pathological data of the gastric cancer patients.
Clinical pathological data
Small gastric cancer patient group(n=148 cases)
Large gastric cancer patient group(n=121 cases)
p value
Cases
%
Cases
%
Age (years)
Median
58
62
Range
23–79
41–83
Sex
Male
108
73.0
78
64.5
0.146
Female
40
27.0
43
35.5
Tumor location
Gastric cardia
55
37.2
75
62.0
<0.001
Middle
21
14.2
14
11.6
Antrum
66
44.6
21
17.4
Total stomach
6
4.1
11
9.1
CEA level
<5μg/ml
135
93.1
93
76.9
<0.001
≥5μg/ml
10
6.9
28
23.1
Borrmann type
I
2
1.4
2
1.7
0.145
II
69
46.6
50
41.3
III
77
52.0
65
43.8
IV
0
0
4
6.2
Histological grade
High differentiation
1
0.7
0
0
0.103
Median differentiation
37
25.0
46
38.0
Low differentiation
87
58.8
57
47.1
Poor differentiation∗
23
15.5
18
14.9
T staging∗∗
T3
130
87.8
97
80.2
0.093
T4a
18
12.2
24
19.8
LN harvested
15–29
121
81.8
106
87.6
0.237
≥30
27
18.2
15
12.4
Postoperative chemotherapy
Without
56
37.8
33
27.3
0.070
With
92
62.2
88
72.7
∗Poorly differentiated cells: signet ring cell carcinoma, mucinous adenocarcinoma, undifferentiated carcinoma, etc. ∗∗The T and N staging for this group of patients is according to the AJCC 7th TNM staging system for gastric cancer.


### 2.5. Follow-Up

After treatment, the patients were monitored every month for the first year, every 3 months for the second year, and every 6 months thereafter, with regular follow-up assessments. Telephone calls and letters were used to follow up on the patients who were not able to attend regular follow-up assessments. Complete data were collected for all 269 patients through December 2014. The following-up period ranged from 6 months to 90 months (median: 46 months).


### 2.6. Statistical Methods

A chi-square test was used to compare the categorical variables between the palliative operation group and the other groups. Student’st-tests were used to compare the continuous variables. Univariate survival analyses were performed using Kaplan-Meier methods. The survival curves were compared with the log-rank test. The statistical analyses were performed with SPSS software version 20.0 (SPSS Inc., Chicago, IL) for Windows. Statistical significance was defined as p<0.05.


## 2.1. Ethics Statement

All of the patients provided written informed consent for their information to be stored in a hospital database. We obtained separate consent for the use of this information for research. Study approval was obtained from independent ethics committees at the Sixth Affiliated Hospital of Sun Yat-sen University and the Cancer Center of Sun Yat-sen University. This study was undertaken in accordance with the ethical standards of the World Medical Association Declaration of Helsinki.


## 2.2. Patient Inclusion and Exclusion Criteria

The inclusion criteria were as follows: (1) WHO performance status of 0 to 1; (2) histologically proven T3-4 adenocarcinoma of the stomach without evidence of lymph node metastasis; (3) no prior gastric surgery; (4) no previous radiotherapy or other treatments, including immunotherapy or traditional Chinese medicine; and (5) no synchronous or metachronous cancers.


## 2.3. Chemotherapy

Various chemotherapeutic regimens were considered in our research: 36 patients received Xeloda (1000 mg/m2, D1–14, Q3W, cycles: 5.67 ± 1.15); 67 patients received the XELOX regimen (oxaliplatin: 130 mg/m2 D1 + Xeloda 1000 mg/m2, D1–14, Q3W, cycles: 5.53 ± 1.55); and 44 patients received the FOLFOX regimen (oxaliplatin: 85 mg/m2 D1 + CF 400 mg/m2 D1 + 5-Fu 2800 mg/m2, D1-D2, Q2W, cycles: 8.52 ± 1.57). Of another 33 patients, 14 received the S-1 regimen (40–60 mg, bid, D1–14, Q3W, cycles: 5.71 ± 1.43); 13 received the CX regimen, (cisplatin: 60 mg/m2 D1 + Xeloda 1000 mg/m2, D1–14, Q3W, cycles: 4.92 ± 1.50); 5 received the SOX regimen (oxaliplatin: 85 mg/m2 D1 + S-1 1000 mg/m2, 40–60 mg, bid, D1–14, Q3W, cycles: 4.92 ± 1.50); and one received the DX regimen (docetaxel: 75 mg/m2 D1 + Xeloda 1000 mg/m2, D1–14, Q3W, cycles: 5).


## 2.4. Patient Characteristics

From January 2006 to December 2010, 269 consecutive patients with a histological diagnosis of T3-4N0 gastric cancer who underwent D2 radical surgery at the Sixth Affiliated Hospital of Sun Yat-sen University or the Sun Yat-sen University Cancer Center were included in this study. We divided the patients according to tumor size. We analyzed the ROC curve data and considered two balanced arms, selecting 5 cm as the cutoff value (Figure1). Patients with gastric tumors of less than 5 cm were included in the small gastric cancer group, and patients with tumors greater than 5 cm were included in the large gastric cancer group. The clinicopathological factors are presented in Table 1.Figure 1
The AUC was 0.751, and the largest Youden index was 0.398, corresponding to a tumor size of 4.75 cm. However, we believed that, in the clinic, 5 cm is a more appropriate cut-off value for doctors seeking to decide whether the patient should receive postoperative chemotherapy.Table 1
Clinical pathological data of the gastric cancer patients.
Clinical pathological data
Small gastric cancer patient group(n=148 cases)
Large gastric cancer patient group(n=121 cases)
p value
Cases
%
Cases
%
Age (years)
Median
58
62
Range
23–79
41–83
Sex
Male
108
73.0
78
64.5
0.146
Female
40
27.0
43
35.5
Tumor location
Gastric cardia
55
37.2
75
62.0
<0.001
Middle
21
14.2
14
11.6
Antrum
66
44.6
21
17.4
Total stomach
6
4.1
11
9.1
CEA level
<5μg/ml
135
93.1
93
76.9
<0.001
≥5μg/ml
10
6.9
28
23.1
Borrmann type
I
2
1.4
2
1.7
0.145
II
69
46.6
50
41.3
III
77
52.0
65
43.8
IV
0
0
4
6.2
Histological grade
High differentiation
1
0.7
0
0
0.103
Median differentiation
37
25.0
46
38.0
Low differentiation
87
58.8
57
47.1
Poor differentiation∗
23
15.5
18
14.9
T staging∗∗
T3
130
87.8
97
80.2
0.093
T4a
18
12.2
24
19.8
LN harvested
15–29
121
81.8
106
87.6
0.237
≥30
27
18.2
15
12.4
Postoperative chemotherapy
Without
56
37.8
33
27.3
0.070
With
92
62.2
88
72.7
∗Poorly differentiated cells: signet ring cell carcinoma, mucinous adenocarcinoma, undifferentiated carcinoma, etc. ∗∗The T and N staging for this group of patients is according to the AJCC 7th TNM staging system for gastric cancer.


## 2.5. Follow-Up

After treatment, the patients were monitored every month for the first year, every 3 months for the second year, and every 6 months thereafter, with regular follow-up assessments. Telephone calls and letters were used to follow up on the patients who were not able to attend regular follow-up assessments. Complete data were collected for all 269 patients through December 2014. The following-up period ranged from 6 months to 90 months (median: 46 months).


## 2.6. Statistical Methods

A chi-square test was used to compare the categorical variables between the palliative operation group and the other groups. Student’st-tests were used to compare the continuous variables. Univariate survival analyses were performed using Kaplan-Meier methods. The survival curves were compared with the log-rank test. The statistical analyses were performed with SPSS software version 20.0 (SPSS Inc., Chicago, IL) for Windows. Statistical significance was defined as p<0.05.


## 3. Result

### 3.1. Univariate Analyses of the Prognoses of Gastric Cancer Patients

According to the Kaplan-Meier analysis, tumor size (p<0.001), pathological T stage (p<0.001), and tumor location (p=0.025) were risk factors (as shown in Table 2). However, no significant survival difference was found between the patients with postoperative chemotherapy and those without postoperative chemotherapy. The median survival times of the patients who received and did not receive postoperative chemotherapy were 58.0 months and 56.1 months, respectively (p=0.543). The survival curves are illustrated in Figure 2.Table 2
Univariate analysis of the overall survival in this group of gastric cancer patients.
Variables
n
Mean survival (months)
p value
Postoperative chemotherapy
0.543
With
180
58.01
Without
89
56.08
Tumor size
<0.001
<5 cm
148
63.25
≥5 cm
121
47.95
Tumor location
0.025
Upper
130
60.01
Middle
35
46.20
Lower
87
58.40
Total
17
48.17
Serum CEA level (ng/ml)
0.529
Normal
228
57.36
Elevated
38
56.55
Borrmann type
0.119
I
4
68.00
II
119
59.58
III
142
54.85
IV
4
26.75
Histological grade
0.300
High differentiation
1
72.00
Median differentiation
83
61.71
Low differentiation
144
61.05
Poor differentiation
41
46.85
T staging
<0.001
T3
227
59.61
T4a
42
45.89
LN harvested
0.160
15–29
227
58.31
≥30
42
51.26Figure 2
Univariate analysis of 267 T3-4aN0M0 gastric cancer patients. (a) The mean survival times of patients with tumor sizes smaller than 5 cm and larger than 5 cm were 63.25 and 47.95 months, respectively (p<0.001). (b) The mean survival times of the T3 and T4a patients in the study were 59.61 and 45.89 months, respectively (p<0.001). (c) Tumor location was also a prognostic factor for this group of patients (p=0.025). (d) Adjuvant chemotherapy did not have a prognostic benefit for this group of gastric cancer patients (p=0.543).
(a)
(b)
(c)
(d)


### 3.2. Multivariate Analysis of the Prognoses of Gastric Cancer Patients

Furthermore, we used the Cox regression model to analyze these risk factors in order to identify the independent risk factors. The results revealed that tumor size, tumor location, and pathological T stage were the only independent prognostic risk factors. All of these results are presented in Table3.Table 3
Multivariate analyses of overall survival in gastric cancer patients (Cox’s regression model).
Variable
HR
95% CI
p value
OS in gastric cancer patients
Tumor size
2.780
1.894–4.081
<0.001
CEA level
0.936
0.510–1.717
0.831
Tumor location
1.221
1.023–1.458
0.027
Pathological T staging
2.101
1.342–3.289
0.001
OS, overall survival; HR, hazard ratio; CI, confidence interval.


### 3.3. Postoperative Chemotherapy Brings No Benefits for Stage II Gastric Cancer Patients with Tumors Less Than 5 cm in Size

In the group of patients with tumor sizes of less than 5 cm, the postoperative chemotherapy did not show any benefit. As shown in Figure3, the median survival times of the chemotherapy and without chemotherapy groups were 64.43 months and 62.38 months, respectively (p=0.776).Figure 3
In the group of patients with tumor sizes of less than 5 cm, the median survival times of the chemotherapy and without chemotherapy groups were 64.43 months and 62.38 months, respectively (p=0.776).


### 3.4. Univariate Analyses of the Prognoses of Gastric Cancer Patients with Tumors Greater Than 5 cm in Size

We first compared the clinicopathological factors between the postoperative chemotherapy and no postoperative chemotherapy groups of gastric cancer patients with tumors greater than 5 cm (Table4). Kaplan-Meier analysis revealed that tumor location (p=0.007), Borrmann type (p=0.039), postoperative chemotherapy (p=0.003), and pathological T stage (p<0.001) were prognostic risk factors (Table 5). The survival curves are illustrated in Figure 4.Table 4
Clinical pathological data of the gastric cancer patients whose tumor size is larger than 5 cm.
Clinical pathological data
Without postoperative chemotherapy group (n=33 cases)
With postoperative chemotherapy group (n=88 cases)
p value
Cases
%
Cases
%
Age (years)
Median
58
62
Range
23–79
41–83
Sex
Male
20
60.6
58
65.9
0.368
Female
13
39.4
30
34.1
Tumor location
Gastric cardia
20
60.6
55
62.5
0.639
Middle
5
15.2
9
10.2
Antrum
4
12.1
17
19.3
Total stomach
4
12.1
7
8.0
CEA level
<5μg/ml
27
81.8
66
75.0
0.296
≥5μg/ml
6
18.2
22
25.0
Borrmann type
I
1
3.0
1
1.1
0.819
II
12
36.4
38
43.2
III
19
57.6
46
52.3
IV
1
3.0
3
3.4
Histological grade
High differentiation
0
0.0
0
0
0.077
Median differentiation
8
24.2
38
43.2
Low differentiation
21
63.6
36
40.9
Poor differentiation∗
4
12.1
14
15.9
T staging∗∗
T3
25
75.8
72
81.8
0.307
T4a
8
24.2
16
18.2
LN harvested
15–29
32
97.0
74
84.1
0.045
≥30
1
3.0
14
15.9
∗Poorly differentiated cells: signet ring cell carcinoma, mucinous adenocarcinoma, undifferentiated carcinoma, etc. ∗∗The T and N staging for this group of patients is according to the AJCC 7th TNM staging system for gastric cancer.Table 5
Univariate analysis of the overall survival in this group of gastric cancer patients.
Variables
n
Mean survival (months)
p value
Postoperative chemotherapy
0.003
With
88
51.23
Without
33
38.93
Tumor location
0.007
Upper
75
51.68
Middle
14
34.24
Lower
21
47.61
Total
11
36.12
Serum CEA level (ng/ml)
0.105
Normal
93
46.19
Elevated
28
45.55
Borrmann type
0.039
I
2
66.48
II
50
53.52
III
65
43.49
IV
4
26.75
Histological grade
0.217
High differentiation
0
—
Median differentiation
46
53.26
Low differentiation
57
43.27
Poor differentiation
18
44.77
T staging
<0.001
T3
97
53.39
T4a
24
26.74
LN harvested
0.479
15–29
106
47.49
≥30
15
49.29Figure 4
Univariate analysis of the prognosis of gastric cancer patients with tumor sizes larger than 5 cm. (a) The tumor location (p=0.007), (b) Borrmann type (p=0.039), (c) postoperative chemotherapy (p=0.003), and (d) pathological T staging (p<0.001) were the prognostic factors for these gastric cancer patients.
(a)
(b)
(c)
(d)


### 3.5. Multivariate Analysis of the Prognoses of Gastric Cancer Patients with Tumors Greater Than 5 cm in Size

Furthermore, we used the Cox regression model to analyze these risk factors in order to identify the independent risk factors for gastric cancer patients. Multivariate analysis revealed that Borrmann type, postoperative chemotherapy, and pathological T stage were independent prognostic factors for these patients (Table6).Table 6
Multivariate analyses of overall survival in gastric cancer patients whose tumor size was larger than 5 cm (Cox’s regression model).
Variable
HR
95% CI
p value
OS in gastric cancer patients whose tumor size was larger than 5 cm
Borrmann type
1.644
1.039–2.600
0.034
Tumor location
1.116
0.858–1.451
0.414
Pathological T staging
4.761
2.836–9.487
<0.001
Postoperative chemotherapy
0.489
0.281–0.851
0.011
OS, overall survival; HR, hazard ratio; CI, confidence interval.


## 3.1. Univariate Analyses of the Prognoses of Gastric Cancer Patients

According to the Kaplan-Meier analysis, tumor size (p<0.001), pathological T stage (p<0.001), and tumor location (p=0.025) were risk factors (as shown in Table 2). However, no significant survival difference was found between the patients with postoperative chemotherapy and those without postoperative chemotherapy. The median survival times of the patients who received and did not receive postoperative chemotherapy were 58.0 months and 56.1 months, respectively (p=0.543). The survival curves are illustrated in Figure 2.Table 2
Univariate analysis of the overall survival in this group of gastric cancer patients.
Variables
n
Mean survival (months)
p value
Postoperative chemotherapy
0.543
With
180
58.01
Without
89
56.08
Tumor size
<0.001
<5 cm
148
63.25
≥5 cm
121
47.95
Tumor location
0.025
Upper
130
60.01
Middle
35
46.20
Lower
87
58.40
Total
17
48.17
Serum CEA level (ng/ml)
0.529
Normal
228
57.36
Elevated
38
56.55
Borrmann type
0.119
I
4
68.00
II
119
59.58
III
142
54.85
IV
4
26.75
Histological grade
0.300
High differentiation
1
72.00
Median differentiation
83
61.71
Low differentiation
144
61.05
Poor differentiation
41
46.85
T staging
<0.001
T3
227
59.61
T4a
42
45.89
LN harvested
0.160
15–29
227
58.31
≥30
42
51.26Figure 2
Univariate analysis of 267 T3-4aN0M0 gastric cancer patients. (a) The mean survival times of patients with tumor sizes smaller than 5 cm and larger than 5 cm were 63.25 and 47.95 months, respectively (p<0.001). (b) The mean survival times of the T3 and T4a patients in the study were 59.61 and 45.89 months, respectively (p<0.001). (c) Tumor location was also a prognostic factor for this group of patients (p=0.025). (d) Adjuvant chemotherapy did not have a prognostic benefit for this group of gastric cancer patients (p=0.543).
(a)
(b)
(c)
(d)


## 3.2. Multivariate Analysis of the Prognoses of Gastric Cancer Patients

Furthermore, we used the Cox regression model to analyze these risk factors in order to identify the independent risk factors. The results revealed that tumor size, tumor location, and pathological T stage were the only independent prognostic risk factors. All of these results are presented in Table3.Table 3
Multivariate analyses of overall survival in gastric cancer patients (Cox’s regression model).
Variable
HR
95% CI
p value
OS in gastric cancer patients
Tumor size
2.780
1.894–4.081
<0.001
CEA level
0.936
0.510–1.717
0.831
Tumor location
1.221
1.023–1.458
0.027
Pathological T staging
2.101
1.342–3.289
0.001
OS, overall survival; HR, hazard ratio; CI, confidence interval.


## 3.3. Postoperative Chemotherapy Brings No Benefits for Stage II Gastric Cancer Patients with Tumors Less Than 5 cm in Size

In the group of patients with tumor sizes of less than 5 cm, the postoperative chemotherapy did not show any benefit. As shown in Figure3, the median survival times of the chemotherapy and without chemotherapy groups were 64.43 months and 62.38 months, respectively (p=0.776).Figure 3
In the group of patients with tumor sizes of less than 5 cm, the median survival times of the chemotherapy and without chemotherapy groups were 64.43 months and 62.38 months, respectively (p=0.776).


## 3.4. Univariate Analyses of the Prognoses of Gastric Cancer Patients with Tumors Greater Than 5 cm in Size

We first compared the clinicopathological factors between the postoperative chemotherapy and no postoperative chemotherapy groups of gastric cancer patients with tumors greater than 5 cm (Table4). Kaplan-Meier analysis revealed that tumor location (p=0.007), Borrmann type (p=0.039), postoperative chemotherapy (p=0.003), and pathological T stage (p<0.001) were prognostic risk factors (Table 5). The survival curves are illustrated in Figure 4.Table 4
Clinical pathological data of the gastric cancer patients whose tumor size is larger than 5 cm.
Clinical pathological data
Without postoperative chemotherapy group (n=33 cases)
With postoperative chemotherapy group (n=88 cases)
p value
Cases
%
Cases
%
Age (years)
Median
58
62
Range
23–79
41–83
Sex
Male
20
60.6
58
65.9
0.368
Female
13
39.4
30
34.1
Tumor location
Gastric cardia
20
60.6
55
62.5
0.639
Middle
5
15.2
9
10.2
Antrum
4
12.1
17
19.3
Total stomach
4
12.1
7
8.0
CEA level
<5μg/ml
27
81.8
66
75.0
0.296
≥5μg/ml
6
18.2
22
25.0
Borrmann type
I
1
3.0
1
1.1
0.819
II
12
36.4
38
43.2
III
19
57.6
46
52.3
IV
1
3.0
3
3.4
Histological grade
High differentiation
0
0.0
0
0
0.077
Median differentiation
8
24.2
38
43.2
Low differentiation
21
63.6
36
40.9
Poor differentiation∗
4
12.1
14
15.9
T staging∗∗
T3
25
75.8
72
81.8
0.307
T4a
8
24.2
16
18.2
LN harvested
15–29
32
97.0
74
84.1
0.045
≥30
1
3.0
14
15.9
∗Poorly differentiated cells: signet ring cell carcinoma, mucinous adenocarcinoma, undifferentiated carcinoma, etc. ∗∗The T and N staging for this group of patients is according to the AJCC 7th TNM staging system for gastric cancer.Table 5
Univariate analysis of the overall survival in this group of gastric cancer patients.
Variables
n
Mean survival (months)
p value
Postoperative chemotherapy
0.003
With
88
51.23
Without
33
38.93
Tumor location
0.007
Upper
75
51.68
Middle
14
34.24
Lower
21
47.61
Total
11
36.12
Serum CEA level (ng/ml)
0.105
Normal
93
46.19
Elevated
28
45.55
Borrmann type
0.039
I
2
66.48
II
50
53.52
III
65
43.49
IV
4
26.75
Histological grade
0.217
High differentiation
0
—
Median differentiation
46
53.26
Low differentiation
57
43.27
Poor differentiation
18
44.77
T staging
<0.001
T3
97
53.39
T4a
24
26.74
LN harvested
0.479
15–29
106
47.49
≥30
15
49.29Figure 4
Univariate analysis of the prognosis of gastric cancer patients with tumor sizes larger than 5 cm. (a) The tumor location (p=0.007), (b) Borrmann type (p=0.039), (c) postoperative chemotherapy (p=0.003), and (d) pathological T staging (p<0.001) were the prognostic factors for these gastric cancer patients.
(a)
(b)
(c)
(d)


## 3.5. Multivariate Analysis of the Prognoses of Gastric Cancer Patients with Tumors Greater Than 5 cm in Size

Furthermore, we used the Cox regression model to analyze these risk factors in order to identify the independent risk factors for gastric cancer patients. Multivariate analysis revealed that Borrmann type, postoperative chemotherapy, and pathological T stage were independent prognostic factors for these patients (Table6).Table 6
Multivariate analyses of overall survival in gastric cancer patients whose tumor size was larger than 5 cm (Cox’s regression model).
Variable
HR
95% CI
p value
OS in gastric cancer patients whose tumor size was larger than 5 cm
Borrmann type
1.644
1.039–2.600
0.034
Tumor location
1.116
0.858–1.451
0.414
Pathological T staging
4.761
2.836–9.487
<0.001
Postoperative chemotherapy
0.489
0.281–0.851
0.011
OS, overall survival; HR, hazard ratio; CI, confidence interval.


## 4. Discussion

Pathological stage can be used for gastric cancer patients to predict the risk of recurrence and prognosis. Stage I gastric cancer patients have a very low risk of recurrence [11] and are thus not indicated for postoperative chemotherapy. In contrast, stage IV gastric cancer patients can only accept palliative therapy, surgery, chemotherapy, and other treatments [12]. Until now, there has been great variability among the outcomes of patients with stage II/III GC; some patients are prone to suffer from locoregional or distant recurrence even after complete curative resection, whereas others achieve long-term survival [13]. Particularly for stage II gastric cancer patients, the controversy regarding the use of adjuvant chemotherapy following D2 gastrectomy persisted until the completion of the ACTS-GC and CLASSIC trials. The five-year outcomes of the ACTS-GC trial (S-1 versus surgery only) and the CLASSIC trial both indicated that stage II gastric cancer patients can benefit from postoperative chemotherapy [14, 15]. However, in these two clinical trials, the stage II gastric cancer patients included the T2N1M0 and T1N2M0 groups. Moreover, in the CLASSIC trial, the hazard ratio for adjuvant chemotherapy for N0 patients was 0.79 (CI: 0.39–1.60); thus, adjuvant chemotherapy was not advantageous in terms of prognostic improvement. Therefore, whether adjuvant chemotherapy is beneficial for lymph node-negative stage II gastric cancer patients remains unknown.Because of the controversy regarding the role of postoperative chemotherapy in stage II gastric cancer patients, at our institution, we allowed patients and their relatives to decide whether the patients would receive postoperative chemotherapy. Some patients refused postoperative chemotherapy because of the fear of chemotherapy-related adverse events, and others refused for economic reasons.In the present study, we demonstrated that adjuvant chemotherapy does not benefit the survival of stage II gastric cancer patients without lymph node metastasis. The median survivals of the patients who did and did not receive adjuvant chemotherapy were 58.0 months and 56.1 months, respectively.Precision therapy is thought to be the direction of future treatment strategies. Before molecular pathological techniques can be widely used to treat gastric cancer, it is important to determine how stage II gastric cancer patients can be properly selected to receive adjuvant chemotherapy to improve survival.Although tumor size is not included in the current TNM staging system of the 7th AJCC, this factor still plays an important role in the prediction of the prognoses of gastric cancers due to the ease of its measurement. In Adachi’s report, tumor size was strongly correlated with tumor progression parameters, such as the depth of invasion, the degree of lymph node metastasis, and the stage of the disease [16]. Wang et al. suggested that tumor size can efficiently and reliably reflect lymph node status [17]. In the present trial, we found that tumor size was an independent prognostic factor for our group of T3-4aN0M0 gastric cancer patients. Moreover, among these T3-4aN0M0 gastric cancer patients with tumors greater than 5 cm, adjuvant chemotherapy was an independent prognostic factor. This finding indicates that adjuvant chemotherapy can benefit gastric cancer patients with tumors greater than 5 cm. In our study, we found that, among gastric cancer patients with tumor sizes larger than 5 cm, postoperative chemotherapy improved the prognosis. We therefore propose that postoperative chemotherapy should be performed in this group of patients.The accurate cancer staging of each patient in clinical practice is crucial for helping clinicians select treatment plans. Although our sample was small, our results imply that tumor size may be useful for guiding adjuvant treatments for T3-4aN0M0 gastric cancer patients. However, this study was a retrospective study and thus has limitations, such as confounding factors. Additional experiments and clinical trials are necessary to validate tumor size as a critical factor in determining whether adjuvant chemotherapy should be utilized for T3-4aN0M0 patients following D2 gastrectomy.



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