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Oncotarget logoLink to Oncotarget
. 2016 Nov 23;8(1):954–966. doi: 10.18632/oncotarget.13512

Hierarchical investigating the predictive value of p53, COX2, EGFR, nm23 in the post-operative patients with colorectal carcinoma

Peng Du 1,3,4,6,#, Bin Xu 1,3,6,#, Dachuan Zhang 1,3, Yingjie Shao 1,3,5, Xiao Zheng 1,3,6, Xiaodong Li 1,2,3, Yuqi Xiong 1,3,6, Changping Wu 1,2,3, Jingting Jiang 1,3,6
PMCID: PMC5352209  PMID: 27888614

Abstract

The aim of this study was to evaluate the correlations between p53, COX2, EGFR, nm23 expression and the progression free survival (PFS) of post-operative patients with colorectal carcinoma. Immunohistochemistry was used to detect the expression of p53, COX2, EGFR and nm23 in 459 specimens from colorectal carcinoma patients. Kaplan-Meier estimates, Cox proportional hazard regression analyses and hierarchical analyses were performed on the collected data. Kaplan-Meier estimates analysis suggested that EGFR expression was as a negative predictor, the median PFS of patients with EGFR high expression was 21.73 months, and the median PFS of patients with low EGFR expression was 57.83 months (χ2=20.880, P<0.001); nm23 expression was positive predictive factor for the prognosis of patients with colorectal carcinoma, the median PFS of patients with high nm23 expression was 37.77 months, and the median PFS was 21.47 months in the patients with low nm23 expression (χ2=7.364, P=0.007). Cox regression analysis revealed that comparing with the patients with low expression of EGFR, the patients with high EGFR expression were at higher risk of tumor progression (HR=1.667, P=0.004); Comparing with the patients with high nm23 expression, the patients with nm23 low expression had a higher risk of tumor progression (HR=0.412, P<0.001); and the risk of tumor progression was higher in the patients with high EGFR expression and low nm23 expression (HR=0.245, P<0.001). Hierarchical analysis showed that EGFR expression mainly correlates with the PFS of TNM stage I-II colorectal cancer patients, the median PFS was 33.53 months in the TNM stage I-II colorectal cancer patients with high EGFR expression patients; The median PFS of the TNM stage I-II colorectal cancer patients with low EGFR expression was 70.43 months (χ2=9.530, P=0.002); The median PFS was 19.2 months in the TNM stage III-IV colorectal cancer patients with high expression EGFR, the PFS of the TNM stage III-IV colorectal cancer patients with low EGFR expression was 37.87 months (χ2=7.97, P=0.005). nm23 expression mainly correlates with the PFS of TNM stage III-IV colorecatal cancer patients. The median PFS was 47.27 months in TNM stage I-II colorectal cancer patients with nm23 high expression, the median PFS was 48.85 months in TNM stage I-II colorectal cancer patients with low nm23 expression (χ2=0.101, P=0.750); The median PFS was 28.8 months in TNM stage III-IV colorectal cancer patients with nm23 high expression, the median PFS was 14.7 months in TNM stage III-IV colorectal cancer patients with low nm23 expression (χ2=13.213, P<0.001). EGFR is mainly a predictive factor for the prognosis of post-operative patients with TNM stage I-II colorectal cancer, and nm23 is important for predicting the prognosis of patients with stage III-IV, and EGFR and nm23 could be as predictor of combination.

Keywords: EGFR, nm23, post-operative, colorectal carcinoma

INTRODUCTION

Colorectal carcinoma (CRC) is one of the most common malignant tumors worldwide [13], and it is also the third most common malignant disease in Asia [4]. Previous studies have shown that various biomarkers, such as p53, COX2, EGFR and nm23, were involved in multiple stages of tumor development [415]. These biomarkers, most of which are oncogenes and tumor suppressors, play a crucial role in carcinoma formation [3, 15, 16]. Therefore, they were used for monitoring the progression of tumors and guiding targeting therapies. So far, the prognosis of patients with CRC depends mainly on TNM staging system. However, the patients with similar disease features can manifest various survival results, Therefore, it is important to find molecular prognostic factors that can be useful to identify patients who are at high risk of progression and to individualize treatment [17]. Moreover, one biomarker often fails to predict the prognosis of cancer patients [18]. There is still a lack of better biomarker combinations to predict the prognosis in different stages of carcinoma. Thus, we enrolled 459 patients with colorectal cancer in this study and investigated hierarchically the predictive value of clinicopathological biomarkers for the prognosis of post-operative patients with colorectal carcinoma.

RESULTS

The expression of P53, COX2, EGFR and nm23 in colorectal cancer tissues

Immunohistochemistry results showed that P53, COX2, EGFR and nm23 were proportionally expressed in colorectal cancer tissues, and the positive expression of p53, COX2, EGFR and nm23 were shown in Figure 1. In the patients with colorectal carcinoma, EGFR expression accounted for 53.59%, COX2 expression accounted for 84.1%, p53 expression accounted for 58.52%, nm23 expression accounted for 67.25%. Correlations between the expression of them in colorectal cancer and age, gender, Body Mass Index (BMI), pathological grade, tumor size, lymphatic metastasis, TNM stage were analyzed. The results showed that the correlation between EGFR expression and TNM stage (χ2=9.049, P=0.003) as well as gender (χ2=4.956, P=0.026) were statistically significant, but not others (Table 1).

Figure 1. Immunohistochemistry results.

Figure 1

The expression of EGFR A. and B., nm23 C. and D., p53 E. and F., and COX2 G. and H. in patients derived sections.

Table 1. Relationships between clinicopathological characteristics and the expression of p53, COX2, EGFR and nm23.

Clinical parameter EGFR expression level COX2 expression level p53 expression level nm23 expression level
Low High χ2 P Low High χ2 P Low High χ2 P Low High χ2 P
Age(Years) <60 121 139 0.004 0.948 41 219 0.008 0.928 101 158 1.521 0.218 93 167 2.487 0.115
≥60 92 107 32 167 89 110 57 141
Gender female 76 113 4.956 0.026 24 165 2.469 0.116 76 112 0.147 0.701 62 127 0.000 0.984
male 137 133 49 221 114 156 88 181
BMI <25 129 108 0.003 0.958 22 215 0.475 0.491 98 139 0.103 0.748 88 148 0.267 0.605
≥25 46 38 10 74 36 47 34 50
pathology grading I-II 121 125 1.649 0.199 42 204 0.542 0.462 113 133 4.336 0.037 81 165 0.007 0.931
III-IV 92 121 31 182 77 135 69 143
Tumor size(cm) <8cm 109 124 0.014 0.905 42 191 1.542 0.214 96 136 0.000 0.992 73 160 0.351 0.554
≥8cm 104 121 31 194 93 132 76 148
Lymphatic metastasis No 101 103 1.162 0.281 35 169 0.707 0.400 87 116 0.262 0.608 67 136 0.038 0.845
Yes 112 140 36 216 102 150 81 171
TNM stage I-II 104 86 9.049 0.003 35 155 1.536 0.215 85 105 1.415 0.234 59 130 0.344 0.558
III-IV 109 160 38 231 105 163 91 178
*

lack of partial data

Relationships between p53, COX2, EGFR, nm23 expression and PFS of patients

We performed statistical analyses on the correlations between progression free survival (PFS) and the patients' gender, age, BMI, pathological grade, tumor size, lymphatic metastasis, TNM stage, expression of EGFR, COX2, p53, nm23, and EGFR&nm23 combined expression. pathological grade, TNM stage, EGFR and nm23 expression had statistical significance to the PFS of post-operative patients with colorectal carcinoma (P<0.05). The median PFS of pathological grade I-II colorectal cancer patients was 39.83 months, the median PFS of pathological grade III-IV colorectal cancer patients was 22.87 months (χ2=7.270, P=0.007). The median PFS was 40.40 months in the TNM I-II colorectal cancer patients, the PFS of the TNM stage III-IV colorectal cancer patients was 23.53 months (χ2=11.382, P=0.001), EGFR expression was as a negative predictor, the median PFS of patients with EGFR high expression was 21.73 months, and the median PFS of patients with low EGFR expression was 57.83 months (χ2=20.880, P<0.001); nm23 expression was positive predictive factor for the prognosis of patients with colorectal carcinoma, the median PFS of patients with high nm23 expression was 37.77 months, and the median PFS was 21.47 months in the patients with low nm23 expression (χ2=7.364, P=0.007). Interestingly, the median PFS was 62.93 months in the patients with low EGFR and high nm23 expression, the median PFS was 16.38 months in the patients with high EGFR and low nm23 expression(χ2=30.396, P<0.001). but other clinicopathological parameters had not statistical significance (Table 2 and Figure 2).

Table 2. Correlations between the progression free survival (PFS) and Clinicopathological parameters.

Clinical parameters Cases Median PFS (Months) Log-Rank χ2 P value
Gender Male 270 34.40 0.073 0.787
Female 189 31.87
Age(years) ≤60 260 33.53 0.098 0.754
>60 199 32.00
BMI ≤25 237 58.63 0.034 0.854
>25 84 49.03
Pathology grade I-II 246 39.83 7.270 0.007
III-IV 213 22.87
Tumor size ≤8cm 233 30.67 1.594 0.207
>8cm 225 37.37
Lymph node Negative 204 34.70 0.477 0.490
Positive 252 28.37
TNM stage I-II 190 40.40 11.382 0.001
III-IV 269 23.53
EGFR expression level Low 213 57.83 20.880 <0.001
High 246 21.73
COX2 expression level Low 73 28.37 0.250 0.617
High 386 34.57
p53 expression level Low 190 35.23 1.604 0.205
High 268 30.53
nm23 expression level Low 150 21.47 7.364 0.007
High 308 37.77
EGFR & nm23 combined expression level EGFR high & nm23 low 73 16.38 30.396 <0.001
EGFR low & nm23 high 136 62.93
*

lack of partial data

Figure 2. Statistical analyses for the correlation between PFS and the protein expression of p53, COX2, EGFR, nm23, and EGFR&nm23 combined.

Figure 2

The expression of p53 A. and COX2 COX2 B. were not related to PFS. The expression of EGFR C. and nm23 D. were highly associated with PFS. And the PFS of patients with low EGFR and high nm23 expression E. was significantly different than those with high EGFR and low nm23 expression.

Cox regression results

Cox regression analysis revealed that comparing with the patients with pathological grade I-II, patients with pathological grade III-IV had higher tumor progression risk (HR=1.521, 95% CI:1.068-2.167, P=0.02); patients with TNM stage I-II colorectal carcinoma vs. patients with TNM stage III-IV colorectal carcinoma, the latter is at higher risk of tumor progression (HR=1.604, 95% CI: 1.108-2.321, P=0.012), and TNM staging is an independent prognostic factor; Comparing with the patients with low expression of EGFR, the patients with high EGFR expression were at higher risk of tumor progression (HR=1.667, 95% CI: 1.177-2.362, P=0.004); Comparing with the patients with high nm23 expression, the patients with nm23 low expression had a higher risk of tumor progression (HR=0.412, 95% CI: 0.288-0.591, P<0.001); the risk of tumor progression was higher in the patients with high EGFR expression and low nm23 expression (HR=0.245, 95% CI: 0.142-0.426, P<0.001), (Table 3 and Table 4).

Table 3. Cox regression model analysis for Clinicopathological parameters.

Clinicopathological paramerers Multivariate
HR 95% CI P value
Age(Years)
>=60/<60 1.020 0.722-1.439 0.912
Gender
Male/Female 0.860 0.612-1.209 0.386
Body Mass Index
>=25/<25 1.041 0.706-1.533 0.841
Pathology grade
III-IV/I-II 1.521 1.068-2.167 0.020
Tumor size
>=8cm/<8cm 0.802 0.571-1.127 0.203
TNM stage
III-IV/I-II 1.604 1.108-2.321 0.012
EGFR expression level
High/Low 1.667 1.177-2.362 0.004
COX2 expression level
High/Low 1.794 0.924-3.481 0.084
p53 expression level
High/Low 1.186 0.829-1.697 0.350
nm23 expression level
High/Low 0.412 0.288-0.591 <0.001

Table 4. Cox regression model analysis for Clinical parameters and combined pathology index.

Clinicopathological paramerers Multivariate
HR 95% CI P value
Age(Years)
>=60/<60 0.858 0.509-1.446 0.565
Gender
Male/Female 0.806 0.468-1.389 0.438
Body Mass Index
>=25/<25 1.027 0.575-1.833 0.929
Pathology grade
III-IV/I-II 1.903 1.114-3.252 0.018
Tumor size
>=8cm/<8cm 1.032 0.604-1.762 0.909
TNM stage
III-IV/I-II 1.651 0.924-2.952 0.091
COX2 expression level
High/Low 1.219 0.469-3.173 0.685
p53 expression level
High/Low 1.319 0.789-2.207 0.291
Combined with EGFR & nm23
EGFR low & nm23 high/EGFR high & nm23 low 0.245 0.142-0.426 <0.001

Hierarchical analyses about EGFR and nm23 expression in the TNM stage I-II and III-IV colorectal cancer patients

Hierarchical analysis showed that EGFR expression mainly affects the PFS of TNM stage I-II colorectal cancer patients, the median PFS was 33.53 months in the TNM stage I-II colorectal cancer patients with high EGFR expression patients, The median PFS was 70.43 months in the TNM stage I-II colorectal cancer patients with low EGFR expression (χ2=9.530, P=0.002); The median PFS was 19.2 months in the TNM stage III-IV colorectal cancer patients with high expression EGFR, the PFS of the TNM stage III-IV colorectal cancer patients with low EGFR expression was 37.87 months (χ2=7.97, P=0.005). nm23 expression mainly affects the PFS of TNM stage III-IV colorecatal cancer patients. The median PFS was 47.27 months in TNM stage I-II colorectal cancer patients with nm23 high expression, the median PFS was 48.85 months in TNM stage I-II colorectal cancer patients with low nm23 expression (χ2=0.101, P=0.750); The median PFS was 28.8 months in TNM stage III-IV colorectal cancer patients with nm23 high expression, the median PFS was 14.7 months in TNM stage III-IV colorectal cancer patients with low nm23 expression (χ2=13.213, P<0.001). These results were shown in Table 5 and Figure 3.

Table 5. Hierarchical analysis of the relationships between PFS and the expression of p53, COX2, EGFR, nm23 in the patients with TNM stage I-II and III-IV.

Hierarchical define Clinical parameters Cases Median/Mean PFS (Months) Log-Rank χ2 P value
TNM stage I-II
EGFR expression level Low 104 70.43 9.530 0.002
High 86 33.53
COX2 expression level Low 35 27.53 3.311 0.069
High 155 40.87
p53 expression level Low 85 39.83 0.132 0.717
High 105 40.40
nm23 expression level Low 59 48.85# 0.101 0.750
High 130 47.27#
TNM stage III-IV
EGFR expression level Low 109 37.87 7.97 0.005
High 160 19.2
COX2 expression level Low 38 28.37 0.426 0.514
High 231 21.03
p53 expression level Low 105 28.37 2.655 0.103
High 163 21.03
nm23 expression level Low 91 14.7 13.213 <0.001
High 178 28.8

Figure 3. Hierarchical analysis of the correlation between PFS and the expression of p53, COX2, EGFR, nm23 in the patients with TNM stage I-II and III-IV.

Figure 3

p53 A. and B. and COX2 C. and D. had not statistical significance to the PFS of post-operative patients with colorectal carcinoma, instead of EGFR E. and F. and nm23 G. and H., and the results suggested that high EGFR expression promoted the cancer progression of the post-operative patients with colorectal cancer in TNM stage I-II, and the nm23 expression mainly influenced the PFS of the patients with TNM stage III-IV.

Hierarchical analyses about EGFR and nm23 expression in the pathological grade I-II and III-IV colorectal cancer patients

Hierarchical analysis showed that EGFR expression mainly affects the PFS of pathological grade I-II colorectal cancer patients, the median PFS of pathological grade I-II colorectal cancer patients with EGFR high expression was 28.37 months, the median PFS of pathological grade I-II colorectal cancer patients with low EGFR expression was 65.07 months (χ2=18.766, P<0.001). The median PFS was 19.6 months in pathological grade III-IV colorectal cancer patients with high EGFR expression, the median PFS in pathological grade III-IV colorectal cancer patients with low EGFR expression was 30.67 months (χ2=3.846, P=0.05). nm23 Expression mainly affects PFS of the pathological grade III-IV colorectal cancer patients, the median PFS was 40.40 months in pathological grade I-II colorectal cancer patients with high nm23 expression, and the median PFS was 35.93 months in pathological grade I-II colorectal cancer patients with low nm23 expression (χ2=1.102, P=0.294). the median PFS was 28.53 months in pathological grade III-IV colorectal cancer patients with high nm23 expression, the median PFS was 15.93 months in pathological grade III-IV colorectal cancer patients with low expression of nm23 (χ2=7.699, P=0.006). These results were shown in Table 6 and Figure 4.

Table 6. Hierarchical analysis of the relationships between PFS and the expression of p53, COX2, EGFR, nm23 in the patients with pathological grade I-II and III-IV.

Hierarchical define Clinical parameters Cases Median/Mean PFS (Months) Log-Rank χ2 P value
Pathology grade I-II
EGFR expression level Low 121 65.07 18.766 <0.001
High 125 28.37
COX2 expression level Low 42 31.00 0.697 0.404
High 204 40.07
p53 expression level Low 113 40.87 2.511 0.113
High 133 37.37
nm23 expression level Low 81 35.93 1.102 0.294
High 165 40.40
Pathology grade III-IV
EGFR expression level Low 92 30.67 3.846 0.050
High 121 19.6
COX2 expression level Low 31 25.53 0.002 0.961
High 182 21.03
p53 expression level Low 77 20.77 0.061 0.805
High 135 25.53
nm23 expression level Low 69 15.93 7.699 0.006
High 143 28.53

Figure 4. Hierarchical analysis of the relationships between PFS and the expression of EGFR, COX2, p53, nm23 in the patients with pathological grade I-II and III-IV.

Figure 4

p53 A. and B. and COX2 C. and D. had not statistical significance to the PFS of post-operative patients with colorectal carcinoma, instead of EGFR E. and F. and nm23 G. and H., and the results suggested that high EGFR expression promoted the cancer progression of the post-operative patients with colorectal cancer in pathological grade I-II, and the nm23 expression mainly influenced the PFS of the patients with pathological grade III-IV.

DISCUSSION

Several studies have provided evidence that some of biomarkers may be useful in identifing the risk for post-operative patients with CRC and in defining patients who may get benefit from adjuvant chemotherapy [17, 19]. Some of them, such as p53 and COX2, play a critical role in carcinogenesis [20, 21]. It has been confirmed that p53 and COX2 mutations could induce carcinogenesis [4, 14], and COX2 could increase the risk of adenoma recurrence [15]. The mechanisms included inhibiting the apoptosis of cancer cells, promoting tumor angiogenesis, inhibiting the immunity of the organism, and increasing the invasion and metastasis of tumors[2225]. However, in this study, we did not find correlations between p53, COX2 expression and the prognosis of colorectal cancer, which is inconsistent with the results from previous studies [8, 9, 26]. The reason for this could be that p53, COX2 only promotes carcinogenesis, instead of the progression of the disease.

In this study, we investigated the correlations between the progression free survival and patients' gender, age, body mass index, pathology stage, tumor size, lymphatic metastasis, TNM stage, EGFR, COX2, p53, nm23, Combined with EGFR and nm23, and evaluated mainly the possible prognostic and predictive values of p53, COX2, EGFR and nm23. We found that a statistically significant correlation between PFS and Pathology grade, TNM stage, EGFR and nm23 expression. To date, pathologic grading and TNM staging are still used as predictors for prognosis of tumor patients, and plays a role in patient management, including informing prognosis and therapeutic decision making. However, several studied suggest that there may also be significant variation in prognosis of patients within even so the same tumor stage [27, 28]. Therefore, some biomarkers are getting more and more attention, and so far biomarkers based on cancer biology have already risen to important position in the research of malignant tumors and clinical management [18]. We found that EGFR and nm23 expression were closely related to the prognosis of patients: the risks of recurrence and metastasis were higher for the patients with high EGFR expression and early TNM stage I-II; the PFS was worse for the patients with low nm23 expression and TNM stage III-IV; the risk of progression will further increase in the patients with high EGFR expression and low nm23 expression. Previous studies already suggested that EGFR played an important role in angiogenesis of early tumor, which is associated with the progression of colorectal carcinoma, and is a widely used prognostic factor [6, 2931]. The over expression of EGFR promotes the metastasis, invasion. The mechanisms mainly included promoting tumor angiogenesis and proliferation of tumor cells that plays a critical role in the early carcinogenesis and progression. EGFR downstream signal transduction pathways are primarily two: one is the Ras/Raf/MEK/ERK- MAPK pathway, and the other is the PI3K/AKT/mTOR pathway [3238]. Some study has also demonstrated that anti-EGFR antibody could improve the prognosis of colorectal carcinoma [39]. The nm23 gene and the related proteins have NDPK activities, which can change the energy metabolism of the cells, and then influence the development and occurrence of the tumor [1012, 40]. It has been confirmed that the down-regulation of nm23 gene was an early event in tumor progression, in which the structure and function of the gene was changed and it had direct impact on the cell configuration, mobility, adhesion and spindle formation in mitosis. nm23 gene could inhibit the metastasis of tumor cells, so that nm23 gene expression was negatively correlated with lymph node metastasis, and was positively correlated with PFS [1012, 40], and our results also indicted that nm23 plays mainly an important role in TNM stage III-IV. So the detection of nm23 gene expression level can be used as an important indicator of whether the metastasis of the tumor.

So far, there is no study with large sample size and multi-center to verify the specific roles of these biomarkers in different TNM stages, as well as evaluated which marker was better for prognosis, which combination of predictive markers was more predictive, in order to guide the clinical workers to select the suitable time and patients for targeted therapies. This study suggested that EGFR was an important predictive factor for the prognosis of the post-operative patients with colorectal carcinoma TNM stage I-II, and nm23 is important for predicting the prognosis of the patients with stage III-IV; it is better that EGFR and nm23 are as predictor of combination. These results would be helpful for evaluation of prognosis and choosing suitable therapies for the post-operative patients with colorectal carcinoma.

PATIENTS AND METHODS

Patients

A total of 1086 patients with CRC who underwent surgery at The Third Affiliated Hospital of Soochow University were enrolled in this study from January 2003 to October 2010. All surgical specimens with the possibility of a diagnosis of CRC were additionally reviewed by two pathologists. The study was approved by the Research Ethics Committee of the Third Affiliated Hospital of Soochow University. However, some patients who did not meet the inclusion criteria, or had other tumors were excluded from the study. Some cases were excluded in the procedure of follow-up. Finally, all 459 patients, including 270 males and 189 females, aged 29-83 years with a median age of 55 years, were enrolled. Exclusion criteria include: 1. we cannot contact with patients or their families to know about the patient's conditions; 2. patients suffered from other tumors or chronic diseases, and they died from these diseases or other accidents. The inclusion criteria: patients didn't have other chronic diseases and distant metastasis; they had complete pathological data and medical history; they didn't receive radiotherapy, chemotherapy or other treatment methods before the surgery.

Immunohistochemical staining

Immunohistochemical staining was performed using streptavidin-perosidase (SP) method. Slides were created by transverse sectioning (4μm). The paraffin-embedded slides were deparaffinated with xylene and rehydrated through a series of ethanol solutions with decreasing concentrations. Endogenous peroxidase activity was blocked by 0.3% H2O2 in methanol at room temperature for half an hour. Thereafter antigen retrieval was achieved by heating the slides in a phosphate-buffered saline (pH 6.0) for 20 minutes and cooling them in the same buffer for 10 minutes. Then the slides were incubated with a diluted primary antibody (mouse anti-COX2, clone COX229, 1:100 dilution, Zymed Laboratories Inc, South San Francisco, Calif; mouse antihuman p53, DO7, Dako, Denmark, 1:50 dilution; rabbit anti-EGFR, MaiXin Biotechnologies, China, 1:400 dilution; anti-human nm23, Dako, Denmark,1:50 dilution.) overnight at 4°C. Then an undiluted secondary antibody was applied for 30 minutes. Rinsing between steps was performed with phosphate buffered saline. The slides were developed with diaminobenzidine and counterstained with Bayers' haematoxylin. After that the slides were dehydrated and mounted with cover slips.

Immunohistochemistry (IHC) scores

The results were scored by evaluating the percentage of tumor cells that had nuclear staining for p53, COX2, EGFR and nm23. Protein expression was classified as negative if <10% of tumor cells were stained [17, 41]. Otherwise they were categorized as positive. Positive expression was assorted further according to the expression levels: mild expression (from ≥ 10% to < 25% positive tumor cells), moderate expression (from ≥ 25% to < 50% positive tumor cells), and high expression (≥ 50% positive tumor cells), with scores ranging from 0 to 6. A score of 0 meant no staining, a score of 1 or 2 indicated weak staining, a score of 3 or 4 meant moderate staining, and a score of 5 or 6 suggested strong staining. However, during statistical analysis, expression was assorted synoptically as either negative or positive.

Statistical analyses

The relationships between the PFS of post-operative patients and the expression of p53, COX2, EGFR and nm23 and other clinical parameters were analyzed by SPSS 19.0 statistical software. Kaplan-Meier survival estimates and Cox regression analysis were used for calculating PFS (dependent variable). And different prognostic factors, including the tested markers, were used to depict their independent effects on the survival. Contingency tables and chi-squared test (Pearson) were used to evaluate the relationships between the expression of p53, COX2, EGFR, nm23 and other factors, such as tumor stage, grade of tumor differentiation, gender, age, etc. All data were described by the hierarchical analysis. Differences were considered as significant when P < 0.05.

Acknowledgments

The authors thank everyone for technical assistance and English language editing.

Footnotes

CONFLICTS OF INTEREST

All authors have no potential conflicts of interest to disclose.

GRANT SUPPORT

This research was supported by grants from the National Key Technology R&D Program (No.2015BAI12B12) and the National Natural Science Foundation of China (No. 31570877, 31570908, 81171653, 31428005, 31570877, 31570908).

REFERENCES

  • 1.Shomaf M, Yousef AL, Ababna N, Bobali Y. Cyclooxygenase-2 (COX2) gene polymorphisms and the risk of sporadic colorectal cancer and polyps among Jordanian population. Turk J Gastroenterol. 2015;26:154–8. doi: 10.5152/tjg.2015.6174. [DOI] [PubMed] [Google Scholar]
  • 2.Costabile V, Duraturo F, Delrio P, Rega D, Pace U, Liccardo R, Rossi GB, Genesio R, Nitsch L, Izzo P, De Rosa M. Lithium chloride induces mesenchymaltoepithelial reverting transition in primary colon cancer cell cultures. Int J Oncol. 2015;46:1913–23. doi: 10.3892/ijo.2015.2911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Liu X, George GC, Tsimberidou AM, Naing A, Wheler JJ, Kopetz S, Fu S, Piha-Paul SA, Eng C, Falchook GS, Janku F, Garrett C, Karp D, et al. Retreatment with anti-EGFR based therapies in metastatic colorectal cancer: impact of intervening time interval and prior anti-EGFR response. BMC Cancer. 2015;15:713. doi: 10.1186/s12885-015-1701-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Abdullah M, Rani AA, Sudoyo AW, Makmun D, Handjari DR, Hernowo BS. Expression of NF-kB and COX2 in colorectal cancer among native Indonesians: the role of inflammation in colorectal carcinogenesis. Acta Med Indones. 2013;45:187–92. [PubMed] [Google Scholar]
  • 5.Fabbri A, Travaglione S, Ballan G, Loizzo S, Fiorentini C. The cytotoxic necrotizing factor 1 from E. coli: a janus toxin playing with cancer regulators. Toxins (Basel) 2013;5:1462–74. doi: 10.3390/toxins5081462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kim SY, Choi EJ, Yun JA, Jung ES, Oh ST, Kim JG, Kang WK, Lee SH. Syndecan-1 expression is associated with tumor size and EGFR expression in colorectal carcinoma: a clinicopathological study of 230 cases. Int J Med Sci. 2015;12:92–9. doi: 10.7150/ijms.10497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chang SC, Lin JK, Lin TC, Liang WY. Loss of heterozygosity: an independent prognostic factor of colorectal cancer. World J Gastroenterol. 2005;11:778–84. doi: 10.3748/wjg.v11.i6.778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Zhang Z, Wang M, Zhou L, Feng X, Cheng J, Yu Y, Gong Y, Zhu Y, Li C, Tian L, Huang Q. Increased HMGB1 and cleaved caspase-3 stimulate the proliferation of tumor cells and are correlated with the poor prognosis in colorectal cancer. J Exp Clin Cancer Res. 2015;34:51. doi: 10.1186/s13046-015-0166-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Fujimori Y, Fujimori T, Imura J, Sugai T, Yao T, Wada R, Ajioka Y, Ohkura Y. An assessment of the diagnostic criteria for sessile serrated adenoma/polyps: SSA/Ps using image processing software analysis for Ki67 immunohistochemistry. Diagn Pathol. 2012;7:59. doi: 10.1186/1746-1596-7-59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Liu YJ, Yan PS, Li J, Jia JF. Expression and significance of CD44s, CD44v6, and nm23 mRNA in human cancer. World J Gastroenterol. 2005;11:6601–6. doi: 10.3748/wjg.v11.i42.6601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Oliveira LA, Artigiani-Neto R, Waisberg DR, Fernandes LC, Lima Fde O, Waisberg J. NM23 protein expression in colorectal carcinoma using TMA (tissue microarray): association with metastases and survival. Arq Gastroenterol. 2010;47:361–7. doi: 10.1590/s0004-28032010000400008. [DOI] [PubMed] [Google Scholar]
  • 12.Elagoz S, Egilmez R, Koyuncu A, Muslehiddinoglu A, Arici S. The intratumoral microvessel density and expression of bFGF and nm23-H1 in colorectal cancer. Pathol Oncol Res. 2006;12:21–7. doi: 10.1007/BF02893427. doi: PAOR.2006.12.1.0021. [DOI] [PubMed] [Google Scholar]
  • 13.Drew JE, Farquharson AJ, Mayer CD, Vase HF, Coates PJ, Steele RJ, Carey FA. Predictive gene signatures: molecular markers distinguishing colon adenomatous polyp and carcinoma. PLoS One. 2014;9:e113071. doi: 10.1371/journal.pone.0113071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Naumov I, Zilberberg A, Shapira S, Avivi D, Kazanov D, Rosin-Arbesfeld R, Arber N, Kraus S. CD24 knockout prevents colorectal cancer in chemically induced colon carcinogenesis and in APC(Min)/CD24 double knockout transgenic mice. Int J Cancer. 2014;135:1048–59. doi: 10.1002/ijc.28762. [DOI] [PubMed] [Google Scholar]
  • 15.Kraus S, Hummler S, Toriola AT, Poole EM, Scherer D, Kotzmann J, Makar KW, Kazanov D, Galazan L, Naumov I, Coghill AE, Duggan D, Gigic B, et al. Impact of genetic polymorphisms on adenoma recurrence and toxicity in a COX2 inhibitor (celecoxib) trial: results from a pilot study. Pharmacogenet Genomics. 2013;23:428–37. doi: 10.1097/FPC.0b013e3283631784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Normanno N, Pinto C, Castiglione F, Fenizia F, Barberis M, Marchetti A, Fontanini G, De Rosa G, Taddei GL. The Italian external quality assessment for RAS testing in colorectal carcinoma identifies methods-related inter-laboratory differences. J Transl Med. 2015;13:287. doi: 10.1186/s12967-015-0655-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.El-Serafi MM, Bahnassy AA, Ali NM, Eid SM, Kamel MM, Abdel-Hamid NA, Zekri AR. The prognostic value of c-Kit, K-ras codon 12, and p53 codon 72 mutations in Egyptian patients with stage II colorectal cancer. Cancer. 2010;116:4954–64. doi: 10.1002/cncr.25417. [DOI] [PubMed] [Google Scholar]
  • 18.Guo H, Zhou X, Lu Y, Xie L, Chen Q, Keller ET, Liu Q, Zhou Q, Zhang J. Translational progress on tumor biomarkers. Thorac Cancer. 2015;6:665–71. doi: 10.1111/1759-7714.12294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bahnassy AA, Zekri AR, El-Houssini S, El-Shehaby AM, Mahmoud MR, Abdallah S, El-Serafi M. Cyclin A and cyclin D1 as significant prognostic markers in colorectal cancer patients. BMC Gastroenterol. 2004;4:22. doi: 10.1186/1471-230X-4-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Campo E, Miquel R, Jares P, Bosch F, Juan M, Leone A, Vives J, Cardesa A, Yague J. Prognostic significance of the loss of heterozygosity of Nm23-H1 and p53 genes in human colorectal carcinomas. Cancer. 1994;73:2913–21. doi: 10.1002/1097-0142(19940615)73:12<2913::aid-cncr2820731207>3.0.co;2-l. [DOI] [PubMed] [Google Scholar]
  • 21.Ookawa K, Sakamoto M, Hirohashi S, Yoshida Y, Sugimura T, Terada M, Yokota J. Concordant p53 and DCC alterations and allelic losses on chromosomes 13q and 14q associated with liver metastases of colorectal carcinoma. Int J Cancer. 1993;53:382–7. doi: 10.1002/ijc.2910530307. [DOI] [PubMed] [Google Scholar]
  • 22.Liu XH, Yao S, Kirschenbaum A, Levine AC. NS398, a selective cyclooxygenase-2 inhibitor, induces apoptosis and down-regulates bcl-2 expression in LNCaP cells. Cancer Res. 1998;58:4245–9. [PubMed] [Google Scholar]
  • 23.O'Mahony CA, Beauchamp RD, Albo D, Tsujii M, Sheng HM, Shao J, Dubois RN, Berger DH. Cyclooxygenase-2 alters transforming growth factor-beta 1 response during intestinal tumorigenesis. Surgery. 1999;126:364–70. [PubMed] [Google Scholar]
  • 24.Tsujii M, Kawano S, Tsuji S, Sawaoka H, Hori M, DuBois RN. Cyclooxygenase regulates angiogenesis induced by colon cancer cells. Cell. 1998;93:705–16. doi: 10.1016/s0092-8674(00)81433-6. [DOI] [PubMed] [Google Scholar]
  • 25.Cherukuri DP, Ishikawa TO, Chun P, Catapang A, Elashoff D, Grogan TR, Bugni J, Herschman HR. Targeted Cox2 gene deletion in intestinal epithelial cells decreases tumorigenesis in female, but not male, ApcMin/+ mice. Mol Oncol. 2014;8:169–77. doi: 10.1016/j.molonc.2013.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hamelin R, Laurent-Puig P, Olschwang S, Jego N, Asselain B, Remvikos Y, Girodet J, Salmon RJ, Thomas G. Association of p53 mutations with short survival in colorectal cancer. Gastroenterology. 1994;106:42–8. doi: 10.1016/s0016-5085(94)94217-x. [DOI] [PubMed] [Google Scholar]
  • 27.Ueno H, Hase K, Hashiguchi Y, Shimazaki H, Tanaka M, Miyake O, Masaki T, Shimada Y, Kinugasa Y, Mori Y, Kishimoto M, Kameoka S, Sato Y, et al. Site-specific tumor grading system in colorectal cancer: multicenter pathologic review of the value of quantifying poorly differentiated clusters. Am J Surg Pathol. 2014;38:197–204. doi: 10.1097/PAS.0000000000000113. [DOI] [PubMed] [Google Scholar]
  • 28.Maguire A, Sheahan K. Controversies in the pathological assessment of colorectal cancer. World J Gastroenterol. 2014;20:9850–61. doi: 10.3748/wjg.v20.i29.9850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Takahashi N, Yamada Y, Furuta K, Nagashima K, Kubo A, Sasaki Y, Shoji H, Honma Y, Iwasa S, Okita N, Takashima A, Kato K, Hamaguchi T, et al. Association between serum ligands and the skin toxicity of anti-epidermal growth factor receptor antibody in metastatic colorectal cancer. Cancer Sci. 2015;106:604–10. doi: 10.1111/cas.12642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Schneider S, Park DJ, Yang D, El-Khoueiry A, Sherrod A, Groshen S, Streeter O, Iqbal S, Danenberg KD, Lenz HJ. Gene expression in tumor-adjacent normal tissue is associated with recurrence in patients with rectal cancer treated with adjuvant chemoradiation. Pharmacogenet Genomics. 2006;16:555–63. doi: 10.1097/01.fpc.0000220563.44724.6d. [DOI] [PubMed] [Google Scholar]
  • 31.Yang D, Schneider S, Azuma M, Iqbal S, El-Khoueiry A, Groshen S, Agafitei D, Danenberg KD, Danenberg PV, Ladner RD, Lenz HJ. Gene expression levels of epidermal growth factor receptor, survivin, and vascular endothelial growth factor as molecular markers of lymph node involvement in patients with locally advanced rectal cancer. Clin Colorectal Cancer. 2006;6:305–11. doi: 10.3816/CCC.2006.n.049. [DOI] [PubMed] [Google Scholar]
  • 32.Roberts PJ, Der CJ. Targeting the Raf-MEK-ERK mitogen-activated protein kinase cascade for the treatment of cancer. Oncogene. 2007;26:3291–310. doi: 10.1038/sj.onc.1210422. [DOI] [PubMed] [Google Scholar]
  • 33.Barathi VA, Weon SR, Beuerman RW. Expression of muscarinic receptors in human and mouse sclera and their role in the regulation of scleral fibroblasts proliferation. Mol Vis. 2009;15:1277–93. [PMC free article] [PubMed] [Google Scholar]
  • 34.Adamczyk A, Niemiec J, Janecka A, Harazin-Lechowska A, Ambicka A, Grela-Wojewoda A, Domagala-Haduch M, Cedrych I, Majchrzyk K, Kruczak A, Rys J, Jakubowicz J. Prognostic value of PIK3CA mutation status, PTEN and androgen receptor expression for metastasis-free survival in HER2-positive breast cancer patients treated with trastuzumab in adjuvant setting. Pol J Pathol. 2015;66:133–41. doi: 10.5114/pjp.2015.53009. [DOI] [PubMed] [Google Scholar]
  • 35.Bozec A, Ebran N, Radosevic-Robin N, Sudaka A, Monteverde M, Toussan N, Etienne-Grimaldi MC, Nigro CL, Merlano M, Penault-Llorca F, Milano G. Combination of mTOR and EGFR targeting in an orthotopic xenograft model of head and neck cancer. Laryngoscope. 2016;126:E156–63. doi: 10.1002/lary.25754. [DOI] [PubMed] [Google Scholar]
  • 36.Lala PK, Nandi P. Mechanisms of trophoblast migration, endometrial angiogenesis in preeclampsia: The role of decorin. Cell Adh Migr. 2016;10:111–25. doi: 10.1080/19336918.2015.1106669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Tauziede-Espariat A, Bresson D, Polivka M, Bouazza S, Labrousse F, Aronica E, Pretet JL, Projetti F, Herman P, Salle H, Monnien F, Valmary-Degano S, Laquerriere A, et al. Prognostic and Therapeutic Markers in Chordomas: A Study of 287 Tumors. J Neuropathol Exp Neurol. 2016;75:111–20. doi: 10.1093/jnen/nlv010. [DOI] [PubMed] [Google Scholar]
  • 38.Liu Z, Han L, Dong Y, Tan Y, Li Y, Zhao M, Xie H, Ju H, Wang H, Zhao Y, Zheng Q, Wang Q, Su J, et al. EGFRvIII/integrin beta3 interaction in hypoxic and vitronectinenriching microenvironment promote GBM progression and metastasis. Oncotarget. 2016;7:4680–94. doi: 10.18632/oncotarget.6730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Taniguchi H, Yamazaki K, Yoshino T, Muro K, Yatabe Y, Watanabe T, Ebi H, Ochiai A, Baba E, Tsuchihara K. Japanese Society of Medical Oncology Clinical Guidelines: RAS (KRAS/NRAS) mutation testing in colorectal cancer patients. Cancer Sci. 2015;106:324–7. doi: 10.1111/cas.12595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Martinez JA, Prevot S, Nordlinger B, Nguyen TM, Lacarriere Y, Munier A, Lascu I, Vaillant JC, Capeau J, Lacombe ML. Overexpression of nm23-H1 and nm23-H2 genes in colorectal carcinomas and loss of nm23-H1 expression in advanced tumour stages. Gut. 1995;37:712–20. doi: 10.1136/gut.37.5.712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Radovic S, Doric M, Hukic A, Babic M, Kuskunovic S, Spahovic N. Immunohistochemical expression and significance of NM23 suppressor protein in primary gastric adenocarcinoma. Bosn J Basic Med Sci. 2013;13:72–7. doi: 10.17305/bjbms.2013.2368. [DOI] [PMC free article] [PubMed] [Google Scholar]

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