Skip to main content
World Journal of Gastroenterology logoLink to World Journal of Gastroenterology
. 2018 Nov 7;24(41):4679–4690. doi: 10.3748/wjg.v24.i41.4679

Overexpression of G protein-coupled receptor 31 as a poor prognosticator in human colorectal cancer

Yu-Ming Rong 1, Xiao-Ming Huang 2,3, De-Jun Fan 4,5, Xu-Tao Lin 6,7, Feng Zhang 8, Jian-Cong Hu 9,10, Ying-Xin Tan 11,12, Xi Chen 13,14, Yi-Feng Zou 15,16, Ping Lan 17,18
PMCID: PMC6224474  PMID: 30416315

Abstract

AIM

To investigate the expression of G protein-coupled receptor 31 (GPR31) and its clinical significance in human colorectal cancer (CRC).

METHODS

To determine the association between the GPR31 expression and the prognosis of patients, we obtained paraffin-embedded pathological specimens from 466 CRC patients who underwent initial resection. A total of 321 patients from the First Affiliated Hospital of Sun Yat-sen University from January 1996 to December 2008 were included as a training cohort, whereas 145 patients from the Sixth Affiliated Hospital of Sun Yat-sen University from January 2007 to November 2008 were included as a validation cohort. We examined GPR31 expression levels in CRC tissues from two independent cohorts via immunohistochemical staining. All patients were categorized into either a GPR31 low expression group or a GPR31 high expression group. The clinicopathological factors and the prognosis of patients in the GPR31 low expression group and GPR31 high expression group were compared.

RESULTS

We compared the clinicopathological factors and the prognosis of patients in the GPR31 low expression group and GPR31 high expression group. Significant differences were observed in the number of patients in pM classification between patients in the GPR31 low expression group and GPR31 high expression group (P = 0.007). The five-year survival and tumor-free survival rates of patients were 84.3% and 82.2% in the GPR31 low expression group, respectively, and both rates were 59.7% in the GPR31 high expression group (P < 0.05). Results of the Cox proportional hazard regression model revealed that GPR31 upregulation was associated with shorter overall survival and tumor-free survival of patients with CRC (P < 0.05). Multivariate analysis identified GPR31 expression in colorectal cancer as an independent predictive factor of CRC patient survival (P < 0.05).

CONCLUSION

High GPR31 expression levels were found to be correlated with pM classification of CRC and to serve as an independent predictive factor of poor survival of CRC patients.

Keywords: G protein-coupled receptor 31, Colorectal cancer, Predictive factor, Metastasis, Clinical significance


Core tip: G protein-coupled receptor 31 (GPR31) is a member of the G protein-coupled receptor superfamily whose biological function remains unclear in colorectal cancer (CRC). Expression of GPR31 and its prognostic significance in human CRC have not been studied. The present study aimed to investigate the expression of GPR31 and its clinical significance in human CRC. In our study, high GPR31 expression levels were found to be correlated with pM classification of CRC and to serve as an independent predictor of poor survival in patients with CRC.

INTRODUCTION

Based on the statistics of the American Cancer Society (ACS), colorectal cancer (CRC) has become the second common cause of cancer deaths[1]. CRC causes over 600 thousand deaths each year all over the world and is the fifth common cause of cancer deaths in China[2,3]. The incidence rate of CRC is predicted to increase both in urban and rural areas in the next few years[4]. The prognosis of CRC has improved recent years because of the continued advancements in CRC diagnosis and treatment[5,6]. However, many CRC patients are incurable because of various reasons[7,8].

Nowadays, the American Joint Committee on Cancer (AJCC) staging system is still the gold standard to predict the prognosis of CRC patients. However, the AJCC staging system has certain limitations due to the heterogeneity of CRC. Other reliable biomarkers, which can provide guidance to the treatment of CRC and help predict treatment prognosis, have gradually received interest of clinicians[9,10].

G protein-coupled receptor 31 (GPR31) is a member of the G protein-coupled receptor (GPCR) superfamily and has been identified as a target receptor for 12(S)-hydroxyeicosatetraenoic acid [12(S)-HETE][11]. 12(S)-HETE is an eicosanoid product of arachidonate metabolism by the enzyme 12-lipoxygenase (12-LOX), which was first demonstrated by Hamberg and Samuelsson[12]. 12(S)-HETE plays an important role in many physiological and pathological processes, such as cell growth, adhesion, differentiation, angiogenesis, inflammation, atherosclerosis and cancer promotion[13-17]. Previous studies have demonstrated that 12(S)-HETE promotes cell migration during tumor progression by eliciting a wide variety of physiological and pathological responses[18-22]. It is showed that 12(S)-HETE could induce changes of cancer cell cytoskeleton and result in enhanced tumor invasion and motility[23,24], which in turn enhances tumor cell motility[16]. Exogenous addition of 12(S)-HETE induces overexpression of proteinases[25-27], vascular endothelial growth factor[28], integrins[23,29] and fibronectin[30] in cancer cells, thereby prolonging cell survival[21,31]. 12(S)-HETE promotes adhesion of tumor cell by inducing the nondestructive retraction of monolayers in endothelial cells[32,33]. 12(S)-HETE also promotes tube formation by enhancing the motility of isolated endothelial cells[34]. The diverse biological effects of this important proinflammatory metabolite suggest that 12(S)-HETE potentially acts through a cognate receptor, which was identified as GPR31[11].

In this present study, we aimed to elucidate the association between the expression level of GPR31 and CRC progression.

MATERIALS AND METHODS

Patients

To determine the association between the expression of GPR31 and the prognosis of CRC patients, we obtained tissue specimens from 466 CRC patients who underwent surgery. A total of 321 patients treated at the First Affiliated Hospital of Sun Yat-sen University (SYSU) from January 1996 to December 2008 were included as a training cohort, whereas 145 patients treated at the Sixth Affiliated Hospital of SYSU from January 2007 to November 2008 were included as a validation cohort. The patients who underwent initial colorectal resection were included in this study. Patients who received neoadjuvant therapy were excluded. Abdominal ultrasonography, chest X-ray, magnetic resonance imaging (MRI), computed tomography (CT), bone scans or positron emission tomography-computed tomography (PET-CT) were performed to identify tumor recurrence and distant metastasis. Clinical data including demographics, surgical method, tumor location, differentiation, TNM status and follow-up data were collected from the CRC database of each hospital. MRI and/or CT were used to evaluate the patients at 3, 6, 9, 12, 18 and 24 mo after surgery in the first two years, and annually after that. The primary endpoint of this study was described as the overall survival (OS) and was defined as the time interval between the first surgery to clinical death.

TMA construction and IHC analysis

Tissue microarrays (TMA) were considered as an array fashion to facilitate multiplex analysis of histology[35]. In our study, the TMAs were constructed respectively by two skilled researchers. During the process of TMA experiment, the central portion of neoplasm tissue was selected by two skilled pathologists, after which two pieces of each sample were picked out and deposited into the tissue array instrument (Beecher Instruments, Alphelys, France). TMA blocks were subsequently sliced into 5-μm thick sections before immunohistochemistry (IHC) staining. TMA slides were deparaffinized, rehydrated, exposed to the antigen retrieval system, endogenous peroxidase blocked, primary antibody incubated, stained with diaminobenzidine and counterstained with hematoxylin according to the methods of our previous study[2]. The primary antibody of GPR31 (Santa Cruz Biotechnology, Inc., Dallas, TX, United States) was used in a dilution of 1:200.

Evaluation of IHC analysis

Immunoreactivity of GPR31 protein was examined according to previous studies[1,36]. Spots of TMA were scored ranging from 0 to 3 according to the intensity by two separated researchers. The percentage of positive cancer cells was described as 0%, 5%, …, 95%, 100%. The H score (0 to 300) was determined by calculating the sum of the product of the intensity score and the proportion of the corresponding stained area for each intensity score. The average H score was calculated by two professional researchers finally.

Cut-off point determination

Receiver operating characteristic (ROC) curve was used to determine the cutoff score according to previous studies[1,37]. The H score which met both highest sensitivity and highest specificity was determined as the final cut-off point. Neoplasm tissues were described as “low expression” if they had scores lower than or equal to the cutoff point, whereas neoplasm tissues with scores above the cutoff point were designated as “high expression”. Clinicopathological features including differentiation, pT status, pN status, pM status, TNM stage, and survival were dichotomized for ROC curve analysis, the same as our previous study[1].

Statistical analysis

Relationship between GPR31 protein levels and the clinicopathological characteristics were analyzed using methods according to our previous study[1]: Chi-square test for categorical variables, Student’s t-test for quantitative data which meet homogeneity and normality, Kaplan-Meier curves with a log-rank test for the correlation of the GPR31 and patient survival, and forward stepwise method for construction of a multivariate Cox proportional hazard regression model. SPSS (v19.0, Chicago, IL, United States) was used for our statistical analyses. aP < 0.05 was considered statistically significant in this study.

RESULTS

Patient clinical features

The baseline clinical features of the two cohorts were listed in Table 1. Four hundred and sixty-six patients with CRC were included for analysis. Three hundred and twenty-one patients were included in the training cohort and 145 in the validation cohort. Two hundred and sixty-five males and 201 females were recruited. There were 99 early stage patients (stage I or II) and 367 advanced stage patients (stage III or IV). For all cases, the mean follow-up period was 58.4 mo (range, 0.5 to 123.5 mo). One hundred and seventy-nine patients died during the follow-up period. In the training cohort, 173 patients were male (53.9%) and 148 (46.1%) were female, with an average age of 58.7 years. Tumors were located in the colon in 156 (48.6%) patients and the rectum in 163 (50.8%) patients (two patients had no record). The mean follow-up period was 60.1 mo. In the validation cohort, 92 (63.4%) patients were male, and 53 (36.6%) were female, with an average age of 57.3 years. These patients included 64 (44.1%) colon cancer patients and 81 (55.9%) rectal cancer patients and had a mean follow-up period of 55.42 mo.

Table 1.

Clinicopathological characteristics of patients with different G protein-coupled receptor 31 expression levels in colorectal cancer n (%)

Variable GPR31 expression
Training cohort
Validation cohort
Cases Low High P value Cases Low High P value
Age (yr) 321 57.7 ± 14.3 59.6 ± 13.7 0.223 145 61.6 ± 13.4 64.0 ± 13.1 0.324
Gender 0.674 0.921
Female 148 89 (60.1) 59 (39.9) 53 39 (73.6) 14 (26.4)
Male 173 108 (62.4) 65 (37.6) 92 67 (72.8) 25 (27.2)
BMI (kg/m2) 315 21.1 ± 4.0 21.5 ± 3.1 0.350 71 21.8 ± 3.1 22.8 ± 2.2 0.192
Preoperative ileus 0.051 0.402
Yes 25 20 (80.0) 5 (20.0) 33 26 (78.8) 7 (21.2)
No 294 177 (60.2) 117 (39.8) 112 80 (71.4) 32 (28.6)
CEA (ng/mL) 0.949 0.954
< 5 200 125 (62.5) 75 (37.5) 90 66 (73.3) 24 (26.7)
≥ 5 97 61 (62.9) 36 (37.1) 42 31 (73.8) 11 (26.2)
CA199 (ng/mL) 0.399 0.534
< 37 218 142 (65.1) 76 (34.9) 105 77 (73.3) 28 (26.7)
≥ 37 64 38 (59.4) 26 (40.6) 21 14 (66.7) 7 (33.3)
Tumor location 0.764 0.404
Colon 156 93 (59.6) 63 (40.4) 64 49 (76.6) 15 (23.4)
Rectal 163 103 (63.2) 60 (36.8) 81 57 (70.4) 24 (29.6)
Size (cm) 320 5.1 ± 2.2 4.9 ± 2.0 0.380 143 4.8 ± 2.0 4.5 ± 1.7 0.446
Histopathology 0.551 0.406
Adenocarcinoma 283 172 (60.8) 111 (39.2) 128 95 (74.2) 33 (25.8)
Others 38 25 (65.8) 13 (34.2) 17 11 (64.7) 6 (35.3)
Differentiation 0.464 0.305
Well/moderate 271 164 (60.5) 107 (39.5) 112 84 (75.0) 28 (25.0)
Poor 50 33 (66.0) 17 (34.0) 29 19 (65.5) 10 (34.5)
pT classification 0.592 0.006a
T1/T2 60 35 (58.3) 25 (41.7) 39 35 (89.7) 4 (10.3)
T3/T4 261 162 (62.1) 99 (37.9) 106 71 (67.0) 35 (33.0)
pN classification 0.643 0.767
N0 194 117 (60.3) 77 (39.7) 81 60 (74.1) 21 (25.9)
N1 124 78 (62.9) 46 (37.1) 64 46 (71.9) 18 (28.1)
pM classification 0.007a 0.018a
M0 298 189 (63.4) 109 (36.6) 127 97 (76.4) 30 (23.6)
M1 23 8 (34.8) 15 (65.2) 18 9 (50.0) 9 (50.0)
TNM stage 0.885 0.360
 I/II 188 116 (61.7) 72 (38.3) 76 58 (76.3) 18 (23.7)
III/IV 133 81 (60.9) 52 (39.1) 69 48 (69.6) 21 (30.4)
a

P < 0.05; GPR31: G protein-coupled receptor 31; BMI: Body mass index; CEA: Carcinoembryonic antigen; CA199: Carbohydrate antigen 19-9.

Cut-off point of GPR31 expression levels

The H score, ranging from 0 to 300, was determined by calculating the sum of the product of the intensity score and the proportion of the corresponding stained area for each intensity score. ROC curve analysis was used to figure out the cut-off point of the different patterns of GPR31 expression. According to the generated ROC curve, the cut-off point of GPR31 expression levels was 185. H score more than 185 was categorized as “high expression”, otherwise it was categorized as “low expression”. In the training cohort, 124 samples were categorized as “high expression” and 197 were categorized as “low expression” based on the H scores. Thirty-nine were categorized as “high expression” and 106 were categorized as “low expression” in the validation cohort. Figure 1 shows the representative IHC staining for GPR31 in CRC tissue and adjacent normal colorectal mucosa. Figure 2 shows the corresponding area under curve (AUC).

Figure 1.

Figure 1

Immunohistochemistry staining of representative high- and low-G protein-coupled receptor 31-expressing samples of colorectal cancer and adjacent normal colorectal mucosa. A: High G protein-coupled receptor 31 (GPR31) expression in colorectal cancer (CRC) tissue. The intensity was assigned a score of 3; B: Low GPR31 expression in CRC tissue. The intensity was assigned a score of 2; C: The corresponding adjacent mucosal tissue stains negative for GPR31 expression. GPR31: G protein-coupled receptor 31; CRC: colorectal cancer.

Figure 2.

Figure 2

Receiver operating characteristic curve analysis used to determine the cutoff value for G protein-coupled receptor 31 expression levels in colorectal carcinoma. The following sensitivity and specificity parameters for each outcome were plotted. A: Differentiation (AUC = 0.463); B: pT status (AUC = 0.452); C: pN status (AUC = 0.489); D: pM status (AUC = 0.623); E: Overall survival (AUC = 0.648); F: Disease-free survival (AUC = 0.634). AUC: Area under curve.

Correlation between GPR31 level and clinicopathological characteristics

Advanced correlation analyses revealed that GPR31 level was notably associated with pM classification in the training cohort (P = 0.007) (Table 1). pT classification (P = 0.006) and pM classification (P = 0.018) were significantly different between high- and low-GPR31 expressing patients in the validation cohort, and results showed that strong GPR31 expression was highly correlative with neoplasm metastasis (Table 1).

GPR31 level as a novel prognostic biomarker

In the training cohort, the survival analysis showed that a high GPR31 level was correlated with decreased OS (bP < 0.001, Figure 3 and Table 2). In addition, the following clinical characteristics were also identified as prognostic factors: age (P = 0.010), carcinoembryonic antigen (CEA) (bP < 0.001), carbohydrate antigen 19-9 (CA199) (P = 0.010), tumor differentiation (P = 0.001), pT (P = 0.039), pN (bP < 0.001) and pM classification (bP < 0.001) (Table 2). Roughly the same results were obtained showing the prognostic meaning of high GPR31 expression (log-rank, bP < 0.001 and bP < 0.001, Figure 3 and Table 2) in the validation cohort. Univariate analysis demonstrated that the undermentioned clinicopathological characteristics notably influenced overall patient survival: CEA (P = 0.034), pT (bP < 0.001), pN (bP < 0.001) and pM classification (bP < 0.001) (Table 2).

Figure 3.

Figure 3

Survival curves for the training and validation cohorts according to G protein-coupled receptor 31 expression (log-rank test). A: Overall survival of the training cohorts: Low G protein-coupled receptor 31 (GPR31) expression, n = 197; high GPR31 expression, n = 124 (P < 0.001); B: Overall survival of the validation cohort: low GPR31 expression, n = 106; high GPR31 expression, n = 39 (P < 0.001); C: Disease-free survival of the training cohorts (P < 0.001); D: Disease-free survival of the validation cohorts (P < 0.001). GPR31: G protein-coupled receptor 31.

Table 2.

Univariate analysis of G protein-coupled receptor 31 expression and clinicopathologic variables on overall survival

Variable Training cohort
Validation cohort
All cases Hazard ratio (95%CI) P value All cases Hazard ratio (95%CI) P value
Age (yr) 0.010a 0.054
< 58.4 153 1.0 1.0
≥ 58.4 168 1.832 (1.158-2.898) 1.937 (0.987-3.800)
Gender 0.817 0.933
Female 148 1.0 1.0
Male 173 1.053 (0.680-1.631) 1.026 (0.562-1.874)
BMI (kg/m2) 0.474 0.959
< 21.4 159 1.0 1.0
≥ 21.4 154 0.980 (0.927-1.036) 1.026 (0.394-2.673)
Preoperative ileus 0.07 0.77
Yes 25 1.0 1.0
No 294 1.438 (0.716-2.890) 0.901 (0.449-1.810)
CEA (ng/mL) < 0.001b 0.034a
< 5 200 1.0 1
≥ 5 97 2.435 (1.509-3.927) 1.919 (1.050-3.508)
CA199 (ng/mL) 0.010a 0.279
< 37 218 1.0 1.0
≥ 37 64 1.988 (1.179-3.351) 1.504 (0.719-3.148)
Tumor location 0.303 0.911
Colon 156 1.0 1
Rectal 163 1.250 (0.818-1.910) 0.968 (0.545-1.720)
Size (cm) 0.355 0.193
< 5.0 156 1.0 1.0
≥ 5.0 164 1.230 (0.793-1.907) 0.654 (0.345-1.239)
Histopathology 0.091 0.537
Adenocarcinoma 283 1.0 1.0
Others 38 1.671 (0.922-3.031) 1.311 (0.556-3.090)
Differentiation 0.001a 0.07
Well/moderate 271 1.0 1.0
Poor 50 2.363 (1.435-3.890) 1.811 (0.952-3.443)
pT classification 0.039a 0.001a
T1/T2 60 1.0 1.0
T3/T4 261 2.079 (1.038-4.163) 7.055 (2.191-22.722)
pN classification < 0.001b < 0.001b
N0 194 1.0 1.0
N1 124 2.293 (1.471-3.576) 3.130 (1.716-5.709)
pM classification < 0.001b < 0.001b
M0 298 1.0 1.0
M1 23 9.857 (5.825-16.680) 5.212 (2.764-9.828)
GPR31 expression < 0.001b < 0.001b
Low 197 1.0 1.0
High 124 2.888 (1.844-4.523) 3.413 (1.920-6.066)
a

P < 0.05;

b

P < 0.001; CI: Confidence interval; GPR31: G protein-coupled receptor 31; BMI: Body mass index; CEA: Carcinoembryonic antigen; CA199: Carbohydrate antigen 19-9.

In the training cohort, we found that high GPR31 expression levels were correlated with lower disease-free survival (DFS) (log-rank, bP < 0.001 and bP < 0.001, Figure 3 and Table 3). In addition, DFS was correlated with age (P = 0.021), CEA (P = 0.001), CA199 (P = 0.014), tumor differentiation (P = 0.002), pT (P = 0.020), pN (bP < 0.001) and pM (bP < 0.001) (Table 3). Similar outcomes were obtained in the validation cohort, in which high GPR31 expression was found to be correlated with decreased DFS (log-rank, bP < 0.001 and bP < 0.001, Figure 3 and Table 3). Results of the univariate analysis demonstrated that pT (bP < 0.001), pN (bP < 0.001) and pM (bP < 0.001) significantly influenced disease-free patient survival (Table 3).

Table 3.

Univariate analysis of G protein-coupled receptor 31 expression and clinicopathologic variables on disease-free survival

Variable Training cohort
Validation cohort
All cases Hazard ratio (95%CI) P value All cases Hazard ratio (95%CI) P value
Age (yr) 0.021a 0.182
< 58.4 153 1.0 1.0
≥ 58.4 168 1.683 (1.082-2.619) 1.481 (0.832-2.636)
Gender 0.832 0.959
Female 148 1.0 1.0
Male 173 0.955 (0.624-1.462) 0.986 (0.573-1.697)
BMI (kg/m2) 0.388 0.938
< 21.4 159 1.0 1.0
≥ 21.4 154 0.977 (0.926-1.030) 1.035 (0.431-2.488)
Preoperative ileus 0.461 0.925
Yes 25 1.0 1.0
No 294 1.299 (0.647-2.607) 0.971 (0.524-1.800)
CEA (ng/mL) 0.001a 0.057
< 5 200 1.0 1.0
≥ 5 97 2.233 (1.400-3.563) 1.709 (0.985-2.966)
CA199 (ng/mL) 0.014a 0.415
< 37 218 1.0 1.0
≥ 37 64 1.920 (1.143-3.225) 1.334 (0.668-2.666)
Tumor location 0.101 0.199
Colon 156 1.0 1.0
Rectal 163 1.416 (0.934-2.147) 0.713 (0.425-1.195)
Size (cm) 0.210 0.686
< 5.0 156 1.0 1.0
≥ 5.0 164 1.316 (0.857-2.022) 0.893 (0.514-1.549)
Histopathology 0.112 0.108
Adenocarcinoma 283 1.0 1.0
Others 38 1.617 (0.894-2.924) 1.793 (0.879-3.658)
Differentiation 0.002a 0.069
Well/moderate 271 1.0 1.0
Poor 50 2.200 (1.342 -3.607) 1.732 (0.958-3.132)
pT classification 0.020a 0.001a
T1/T2 60 1.0 1.0
T3/T4 261 2.269 (1.135-4.537) 9.173 (2.867-29.350)
pN classification < 0.001b < 0.001b
N0 194 1.0 1.0
N1 124 2.228 (1.446-3.434) 2.667 (1.567-4.538)
pM classification < 0.001b < 0.001b
M0 298 1.0 1.0
M1 23 8.856 (5.259-14.913) 5.210 (2.895-9.375)
GPR31 expression < 0.001b < 0.001b
Low 197 1.0 1.0
High 124 2.576 (1.671-3.969) 3.277 (1.942-5.530)
a

P < 0.05;

b

P < 0.001; CI: Confidence interval; GPR31: G protein-coupled receptor 31; BMI: Body mass index; CEA: Carcinoembryonic antigen; CA199: Carbohydrate antigen 19-9.

GPR31 expression levels and the clinicopathological characteristics that were found to be significantly associated above were then examined via multivariate analysis. Multivariate analysis revealed that high GPR31 level was a significant independent prognostic factor for poor OS [hazard ratio (HR): 1.896; 95% confidence interval (CI): 1.123-3.202; P = 0.017; Table 4] and DFS (HR: 1.766; 95%CI: 1.069-2.917; P = 0.026; Table 4) after adjusting for tumor differentiation, pT, pN, pM and TNM stage in the training cohort. Similar outcomes were obtained in the validation cohort, in which GPR31 expression was found to correlate with OS (HR: 2.254; 95%CI: 1.168-4.349; P = 0.015; Table 4) and DFS (HR: 1.825; 95%CI: 1.001-3.325; P = 0.049; Table 4).

Table 4.

Cox multivariate analysis of prognostic factors on overall survival and disease-free survival

Variable Training cohort
Validation cohort
Hazards ratio 95%CI P value Hazards ratio 95%CI P value
Overall survival
Age (≥ 58.4 vs < 58.4) 2.344 1.365-4.025 0.002a 1.722 0.788-3.760 0.173
CEA, ng/mL (≥ 5 vs < 5) 2.236 1.284-3.894 0.004a 1.437 0.745-2.773 0.279
CA199, ng/mL (≥ 37 vs < 37) 1.382 0.780-2.448 0.267 1.189 0.543-2.604 0.665
Differentiation (poor vs well/moderate) 1.913 1.045-3.503 0.036a 0.940 0.420-2.103 0.880
pT classification (T3/T4 vs T1/T2) 1.489 0.619-3.581 0.374 7.890 1.028-60.588 0.047a
pN classification (N1 vs N0) 1.855 1.116-3.084 0.017a 2.210 1.059-4.613 0.035a
pM classification (M1 vs M0) 11.836 5.801-24.148 < 0.001b 2.706 1.307-5.604 0.007a
GPR31 expression (high vs low) 1.896 1.123-3.202 0.017a 2.254 1.168-4.349 0.015a
Disease-free survival
Age (≥ 58.4 vs < 58.4) 2.003 1.200-3.344 0.008a 1.159 0.598-2.247 0.661
CEA, ng/mL (≥ 5 vs < 5) 1.965 1.147-3.366 0.014a 1.247 0.686-2.267 0.469
CA199, ng/mL (≥ 37 vs < 37) 1.459 0.824-2.585 0.195 1.103 0.529-2.300 0.794
Differentiation (poor vs well/moderate) 1.609 0.884-2.929 0.119 0.881 0.424-1.830 0.734
pT classification (T3/T4 vs T1/T2) 1.749 0.719-4.254 0.218 13.092 1.738-98.636 0.013*
pN classification (N1 vs N0) 1.809 1.108-2.953 0.018a 1.787 0.936-3.412 0.079
pM classification (M1 vs M0) 10.233 5.128-20.420 < 0.001b 2.741 1.408-5.334 0.003a
GPR31 expression (high vs low) 1.766 1.069-2.917 0.026a 1.825 1.001-3.325 0.049a
a

P < 0.05;

b

P < 0.001; CI: Confidence interval; GPR31: G protein-coupled receptor 31; BMI: Body mass index; CEA: Carcinoembryonic antigen; CA199: Carbohydrate antigen 19-9.

DISCUSSION

Prognostic value of specific biomarkers was found to be more accurate than that of the AJCC staging system[38-40]. However, cancer heterogeneity limited the use of biomarkers and had produced disagreeing results[41,42]. Thus, large-scale prospective studies are required to validate the specificity and prognostic value of biomarkers.

G protein-coupled receptors (GPCRs) belong to a superfamily of the cell surface signaling proteins and are found only in eukaryotes. GPCRs mediate biological effects by coupling with G proteins. Currently, GPCRs are the target of approximately 40% of all modern medicinal drugs[43,44]. As a result, the molecular mechanisms and functions of GPCRs have been a hotspot in biomedical research.

G-protein coupled receptor 31 (GPR31), also known as 12(S)-HETE receptor, is a protein encoded by the GPR31 gene that is located on chromosome 6q27 and consists of 319 amino acids[45]. GPR31 plays an important role in a variety of physiological and pathological processes, including inflammation and tumor progression[45]. GPR31 was first discovered in 1997, but its critical role as a 12(S)-HETE-specific receptor was first identified in 2011[11].

12(S)-HETE promotes tumor cell proliferation and metastasis directly or indirectly. Studies have demonstrated that 12-LOX upregulation leads to increased synthesis of 12(S)-HETE in cancer cells[21]. Treatment with LOX inhibitors, such as baicalin, can increase the activity of apoptotic proteases and lead to downregulation of the Bcl protein. In turn, Bcl downregulation promotes cell survival by inhibiting the expression of 12-LOX, thereby leading to cell cycle arrest and apoptosis. This effect can be reversed by exogenous addition of 12(S)-HETE[46]. In addition to promoting tumor cell survival, 12(S)-HETE can directly promote tumor metastasis by acting on vascular endothelial cells or inducing PKC-dependent cytoskeleton rearrangement[16]. Furthermore, 12(S)-HETE can promote the release of cathepsin B, disrupt the vascular endothelial basement membrane and promote penetration of blood vessels by tumor cells, thereby leading to tumor metastasis[25,47]. 12(S)-HETE can also inhibit cadherin E expression, disrupt the lymphatic endothelial cell membrane and promote the migration of tumor cells from the lymphatic vessels. Inhibition of 12(S)-HETE can significantly suppress tumor cell lymph node metastasis[48,49].

GPR31 is a specific receptor for 12(S)-HETE. A study by Guo et al[11] of prostate cancer showed that 12(S)-HETE promotes invasion by tumor cells by specifically targeting GPR31. In vitro studies have revealed that activation of the 12(S)-HETE/GPR31 signaling pathway is a crucial factor that determines tumor invasion and metastasis[26,50].

Previous studies have shown that 12(S)-HETE can activate the extracellular signal regulated kinase (ERK)1/2, mitogen-activated protein kinase kinase (MEK) and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathways[19,22,51] by specifically binding to GPR31[11]. GPR31 upregulation enhances the activation of ERK1/2, MEK and NF-κB via 12(S)-HETE, whereas GPR31 suppression can completely inhibit 12(S)-HETE-mediated activation of these signaling pathways. The ERK1/2, MEK and NF-κB pathways are involved in most human physiological and pathological processes and serve as important regulatory factors affecting immune and inflammatory processes. Moreover, NF-κB is an important tumor promoter[52]. 12(S)-HETE binds to GPR31 on the cell membrane and activates NF-κB by activating mitogen-activated protein kinases (MAPKs)/c-Jun N-terminal kinases (JNK)/ERK signaling[11]. NF-κB signaling pathways influence tumor cell invasion and angiogenesis by regulating a variety of tumor metastasis or invasion-related genes and cytokine expression, including matrix metalloproteinases, urokinase-type plasminogen activator (UPA), interleukin (IL)-8, inflammatory mediators of intercellular adhesion molecules, monocyte chemokines and cyclooxygenase-2 (COX-2)[53].

Results of the present study showed that GPR31 expression in colorectal cancer tissue was significantly higher than that in normal mucosa and that GPR31 expression levels are closely related to distant metastasis of tumors, which are consistent with findings reported in previous studies[54]. Further univariate and multivariate analyses showed that patients with high GPR31 expression had a worse prognosis and decreased OS and DFS than patients that exhibited low GPR31 expression. These results indicate that GPR31 is a critical prognostic factor of OS and DFS in CRC patients and suggest that GPR31 is closely related to the occurrence, development and prognosis of CRC. And GPR31 may become a novel biomarker and therapeutic target for CRC. Although few studies have discussed the role of GPR31 in tumors, it is reasonable to believe that GPR31 plays a key regulatory role in tumor development and progression by mediating a specific “switch” effect by 12(S)-HETE. Further studies are warranted to elucidate the detailed mechanisms underlying GPR31 function, specifically the molecular mechanisms by which GPR31 expression affects carcinogenesis process, such as tumor proliferation, differentiation, migration and invasion in CRC.

There are some limitations in this study. In order to study the clinical value and role of GPR31 in CRC more accurately, patients were divided into a training cohort and a validation cohort for analysis. However, due to the small sample size, relatively long sample age, poor storage conditions, single research center and other factors, the results still need further verification.

ARTICLE HIGHLIGHTS

Research background

G protein-coupled receptor 31 (GPR31) plays an important role in a variety of physiological and pathological processes, including inflammation and tumor progression. In this present study, we aimed to elucidate the association between the expression level of GPR31 and colorectal cancer (CRC) progression.

Research motivation

12(S)-hydroxyeicosatetraenoic acid [12(S)-HETE] plays an important role in cancer promotion. It potentially acts through GPR31. We aimed to elucidate the association between the expression level of GPR31 and CRC progression. We expect GPR 31 as one of reliable biomarkers can provide guidance to the treatment of CRC and help predict treatment prognosis.

Research objectives

GPR31 is a critical prognostic factor of overall survival and disease-free survival in CRC patients and is closely related to the occurrence, development and prognosis of CRC. GPR31 may become a novel biomarker and therapeutic target for CRC.

Research methods

We obtained paraffin-embedded pathological specimens from 466 CRC patients. And we examined GPR31 expression levels in CRC tissues from two independent cohorts via immunohistochemical staining. All patients were categorized into either the GPR31 low expression group or GPR31 high expression group. The clinicopathological factors and the prognosis of patients in the GPR31 low expression group and GPR31 high expression group were compared.

Research results

Results of the present study showed that GPR31 expression in colorectal cancer tissue was significantly higher than that in normal mucosa and that GPR31 expression levels are closely related to distant metastasis of tumors, which are consistent with findings reported in previous studies. Further univariate and multivariate analyses showed that patients with high GPR31 expression had a worse prognosis and decreased overall survival and disease-free survival than patients that exhibited low GPR31 expression.

Research conclusions

We found that GPR31 was closely related to the occurrence, development, and prognosis of CRC. And GPR31 may become a novel biomarker and therapeutic target for CRC. Although few studies have discussed the role of GPR31 in tumors, it is reasonable to believe that GPR31 plays a key regulatory role in tumor development and progression by mediating a specific “switch” effect by 12(S)-HETE. Further studies are warranted to elucidate the detailed mechanisms underlying GPR31 function, specifically the molecular mechanisms by which GPR31 expression affects carcinogenesis process, such as tumor proliferation, differentiation, migration and invasion in CRC.

Research perspectives

High GPR31 expression levels were found to be correlated with pM classification of CRC and to serve as an independent predictive factor of poor survival of CRC patients. Further in vivo and in vitro experiments should be done to elucidate the molecular mechanisms by which GPR31 expression affects carcinogenesis process, such as tumor proliferation, differentiation, migration and invasion in CRC.

Footnotes

Manuscript source: Unsolicited manuscript

Specialty type: Gastroenterology and hepatology

Country of origin:China

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): 0

Grade C (Good): C, C

Grade D (Fair): 0

Grade E (Poor): 0

Institutional review board statement: Our research was based on resources from our database and specimen library and it did not involve human or animal subjects. Thus, the approval of institutional review board was waived.

Conflict-of-interest statement: The authors declare that they have no conflict of interest.

Data sharing statement: No additional data are available.

ARRIVE guidelines statement: The ARRIVE guidelines have been adopted in this study.

Peer-review started: August 9, 2018

First decision: August 24, 2018

Article in press: October 5, 2018

P- Reviewer: Grundmann RT, Sipos F S- Editor: Ma RY L- Editor: Wang TQ E- Editor: Yin SY

Contributor Information

Yu-Ming Rong, VIP Region, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, China.

Xiao-Ming Huang, Department of Hepatobiliary Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

De-Jun Fan, Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

Xu-Tao Lin, Department of Gastrointestinal Endoscopy, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

Feng Zhang, Department of Rheumatology, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

Jian-Cong Hu, Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

Ying-Xin Tan, Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

Xi Chen, Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

Yi-Feng Zou, Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China. zouyif@mail.sysu.edu.cn.

Ping Lan, Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China; Guangdong Institute of Gastroenterology; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.

References

  • 1.Siegel R, Naishadham D, Jemal A. Cancer statistics, 2013. CA Cancer J Clin. 2013;63:11–30. doi: 10.3322/caac.21166. [DOI] [PubMed] [Google Scholar]
  • 2.Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. doi: 10.3322/caac.20107. [DOI] [PubMed] [Google Scholar]
  • 3.Chen W, Zheng R, Zhang S, Zhao P, Zeng H, Zou X, He J. Annual report on status of cancer in China, 2010. Chin J Cancer Res. 2014;26:48–58. doi: 10.3978/j.issn.1000-9604.2014.01.08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Center MM, Jemal A, Smith RA, Ward E. Worldwide variations in colorectal cancer. CA Cancer J Clin. 2009;59:366–378. doi: 10.3322/caac.20038. [DOI] [PubMed] [Google Scholar]
  • 5.Edwards BK, Ward E, Kohler BA, Eheman C, Zauber AG, Anderson RN, Jemal A, Schymura MJ, Lansdorp-Vogelaar I, Seeff LC, et al. Annual report to the nation on the status of cancer, 1975-2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates. Cancer. 2010;116:544–573. doi: 10.1002/cncr.24760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Mitry E, Rachet B, Quinn MJ, Cooper N, Coleman MP. Survival from cancer of the rectum in England and Wales up to 2001. Br J Cancer. 2008;99 Suppl 1:S30–S32. doi: 10.1038/sj.bjc.6604579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Brenner H, Bouvier AM, Foschi R, Hackl M, Larsen IK, Lemmens V, Mangone L, Francisci S; EUROCARE Working Group. Progress in colorectal cancer survival in Europe from the late 1980s to the early 21st century: the EUROCARE study. Int J Cancer. 2012;131:1649–1658. doi: 10.1002/ijc.26192. [DOI] [PubMed] [Google Scholar]
  • 8.Wu XR, He XS, Chen YF, Yuan RX, Zeng Y, Lian L, Zou YF, Lan N, Wu XJ, Lan P. High expression of CD73 as a poor prognostic biomarker in human colorectal cancer. J Surg Oncol. 2012;106:130–137. doi: 10.1002/jso.23056. [DOI] [PubMed] [Google Scholar]
  • 9.Zou Y, Chen Y, Wu X, Yuan R, Cai Z, He X, Fan X, Wang L, Wu X, Lan P. CCL21 as an independent favorable prognostic factor for stage III/IV colorectal cancer. Oncol Rep. 2013;30:659–666. doi: 10.3892/or.2013.2533. [DOI] [PubMed] [Google Scholar]
  • 10.Mayr C, Hemann MT, Bartel DP. Disrupting the pairing between let-7 and Hmga2 enhances oncogenic transformation. Science. 2007;315:1576–1579. doi: 10.1126/science.1137999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Guo Y, Zhang W, Giroux C, Cai Y, Ekambaram P, Dilly AK, Hsu A, Zhou S, Maddipati KR, Liu J, et al. Identification of the orphan G protein-coupled receptor GPR31 as a receptor for 12-(S)-hydroxyeicosatetraenoic acid. J Biol Chem. 2011;286:33832–33840. doi: 10.1074/jbc.M110.216564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hamberg M, Samuelsson B. Prostaglandin endoperoxides. Novel transformations of arachidonic acid in human platelets. Proc Natl Acad Sci USA. 1974;71:3400–3404. doi: 10.1073/pnas.71.9.3400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chen YQ, Duniec ZM, Liu B, Hagmann W, Gao X, Shimoji K, Marnett LJ, Johnson CR, Honn KV. Endogenous 12(S)-HETE production by tumor cells and its role in metastasis. Cancer Res. 1994;54:1574–1579. [PubMed] [Google Scholar]
  • 14.Funk CD, Chen XS, Johnson EN, Zhao L. Lipoxygenase genes and their targeted disruption. Prostaglandins Other Lipid Mediat. 2002;68-69:303–312. doi: 10.1016/s0090-6980(02)00036-9. [DOI] [PubMed] [Google Scholar]
  • 15.Kamitani H, Ikawa H, Hsi LC, Watanabe T, DuBois RN, Eling TE. Regulation of 12-lipoxygenase in rat intestinal epithelial cells during differentiation and apoptosis induced by sodium butyrate. Arch Biochem Biophys. 1999;368:45–55. doi: 10.1006/abbi.1999.1284. [DOI] [PubMed] [Google Scholar]
  • 16.Timar J, Silletti S, Bazaz R, Raz A, Honn KV. Regulation of melanoma-cell motility by the lipoxygenase metabolite 12-(S)-HETE. Int J Cancer. 1993;55:1003–1010. doi: 10.1002/ijc.2910550621. [DOI] [PubMed] [Google Scholar]
  • 17.Yoshimoto T, Takahashi Y. Arachidonate 12-lipoxygenases. Prostaglandins Other Lipid Mediat. 2002;68-69:245–262. doi: 10.1016/s0090-6980(02)00034-5. [DOI] [PubMed] [Google Scholar]
  • 18.Honn KV, Tang DG, Crissman JD. Platelets and cancer metastasis: a causal relationship? Cancer Metastasis Rev. 1992;11:325–351. doi: 10.1007/BF01307186. [DOI] [PubMed] [Google Scholar]
  • 19.Liu B, Khan WA, Hannun YA, Timar J, Taylor JD, Lundy S, Butovich I, Honn KV. 12(S)-hydroxyeicosatetraenoic acid and 13(S)-hydroxyoctadecadienoic acid regulation of protein kinase C-alpha in melanoma cells: role of receptor-mediated hydrolysis of inositol phospholipids. Proc Natl Acad Sci USA. 1995;92:9323–9327. doi: 10.1073/pnas.92.20.9323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Menter DG, Tucker SC, Kopetz S, Sood AK, Crissman JD, Honn KV. Platelets and cancer: a casual or causal relationship: revisited. Cancer Metastasis Rev. 2014;33:231–269. doi: 10.1007/s10555-014-9498-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Pidgeon GP, Lysaght J, Krishnamoorthy S, Reynolds JV, O’Byrne K, Nie D, Honn KV. Lipoxygenase metabolism: roles in tumor progression and survival. Cancer Metastasis Rev. 2007;26:503–524. doi: 10.1007/s10555-007-9098-3. [DOI] [PubMed] [Google Scholar]
  • 22.Szekeres CK, Tang K, Trikha M, Honn KV. Eicosanoid activation of extracellular signal-regulated kinase1/2 in human epidermoid carcinoma cells. J Biol Chem. 2000;275:38831–38841. doi: 10.1074/jbc.M002673200. [DOI] [PubMed] [Google Scholar]
  • 23.Chopra H, Timar J, Chen YQ, Rong XH, Grossi IM, Fitzgerald LA, Taylor JD, Honn KV. The lipoxygenase metabolite 12(S)-HETE induces a cytoskeleton-dependent increase in surface expression of integrin alpha IIb beta 3 on melanoma cells. Int J Cancer. 1991;49:774–786. doi: 10.1002/ijc.2910490524. [DOI] [PubMed] [Google Scholar]
  • 24.Tang DG, Honn KV. Role of protein kinase C and phosphatases in 12(S)-HETE-induced tumor cell cytoskeletal reorganization. Adv Exp Med Biol. 1997;400A:349–361. doi: 10.1007/978-1-4615-5325-0_48. [DOI] [PubMed] [Google Scholar]
  • 25.Dilly AK, Ekambaram P, Guo Y, Cai Y, Tucker SC, Fridman R, Kandouz M, Honn KV. Platelet-type 12-lipoxygenase induces MMP9 expression and cellular invasion via activation of PI3K/Akt/NF-κB. Int J Cancer. 2013;133:1784–1791. doi: 10.1002/ijc.28165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Honn KV, Timár J, Rozhin J, Bazaz R, Sameni M, Ziegler G, Sloane BF. A lipoxygenase metabolite, 12-(S)-HETE, stimulates protein kinase C-mediated release of cathepsin B from malignant cells. Exp Cell Res. 1994;214:120–130. doi: 10.1006/excr.1994.1240. [DOI] [PubMed] [Google Scholar]
  • 27.Liu XH, Connolly JM, Rose DP. Eicosanoids as mediators of linoleic acid-stimulated invasion and type IV collagenase production by a metastatic human breast cancer cell line. Clin Exp Metastasis. 1996;14:145–152. doi: 10.1007/BF00121211. [DOI] [PubMed] [Google Scholar]
  • 28.Natarajan R, Bai W, Lanting L, Gonzales N, Nadler J. Effects of high glucose on vascular endothelial growth factor expression in vascular smooth muscle cells. Am J Physiol. 1997;273:H2224–H2231. doi: 10.1152/ajpheart.1997.273.5.H2224. [DOI] [PubMed] [Google Scholar]
  • 29.Tang DG, Diglio CA, Bazaz R, Honn KV. Transcriptional activation of endothelial cell integrin alpha v by protein kinase C activator 12(S)-HETE. J Cell Sci. 1995;108(Pt 7):2629–2644. doi: 10.1242/jcs.108.7.2629. [DOI] [PubMed] [Google Scholar]
  • 30.Natarajan R, Gonzales N, Lanting L, Nadler J. Role of the lipoxygenase pathway in angiotensin II-induced vascular smooth muscle cell hypertrophy. Hypertension. 1994;23:I142–I147. doi: 10.1161/01.hyp.23.1_suppl.i142. [DOI] [PubMed] [Google Scholar]
  • 31.Pidgeon GP, Tang K, Rice RL, Zacharek A, Li L, Taylor JD, Honn KV. Overexpression of leukocyte-type 12-lipoxygenase promotes W256 tumor cell survival by enhancing alphavbeta5 expression. Int J Cancer. 2003;105:459–471. doi: 10.1002/ijc.11134. [DOI] [PubMed] [Google Scholar]
  • 32.Honn KV, Tang DG, Gao X, Butovich IA, Liu B, Timar J, Hagmann W. 12-lipoxygenases and 12(S)-HETE: role in cancer metastasis. Cancer Metastasis Rev. 1994;13:365–396. doi: 10.1007/BF00666105. [DOI] [PubMed] [Google Scholar]
  • 33.Honn KV, Tang DG, Grossi I, Duniec ZM, Timar J, Renaud C, Leithauser M, Blair I, Johnson CR, Diglio CA. Tumor cell-derived 12(S)-hydroxyeicosatetraenoic acid induces microvascular endothelial cell retraction. Cancer Res. 1994;54:565–574. [PubMed] [Google Scholar]
  • 34.Nie D, Hillman GG, Geddes T, Tang K, Pierson C, Grignon DJ, Honn KV. Platelet-type 12-lipoxygenase in a human prostate carcinoma stimulates angiogenesis and tumor growth. Cancer Res. 1998;58:4047–4051. [PubMed] [Google Scholar]
  • 35.Battifora H. The multitumor (sausage) tissue block: novel method for immunohistochemical antibody testing. Lab Invest. 1986;55:244–248. [PubMed] [Google Scholar]
  • 36.Lin HX, Qiu HJ, Zeng F, Rao HL, Yang GF, Kung HF, Zhu XF, Zeng YX, Cai MY, Xie D. Decreased expression of Beclin 1 correlates closely with Bcl-xL expression and poor prognosis of ovarian carcinoma. PLoS One. 2013;8:e60516. doi: 10.1371/journal.pone.0060516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Zlobec I, Steele R, Terracciano L, Jass JR, Lugli A. Selecting immunohistochemical cut-off scores for novel biomarkers of progression and survival in colorectal cancer. J Clin Pathol. 2007;60:1112–1116. doi: 10.1136/jcp.2006.044537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Mendez R, Richter JD. Translational control by CPEB: a means to the end. Nat Rev Mol Cell Biol. 2001;2:521–529. doi: 10.1038/35080081. [DOI] [PubMed] [Google Scholar]
  • 39.Lin AY, Chua MS, Choi YL, Yeh W, Kim YH, Azzi R, Adams GA, Sainani K, van de Rijn M, So SK, et al. Comparative profiling of primary colorectal carcinomas and liver metastases identifies LEF1 as a prognostic biomarker. PLoS One. 2011;6:e16636. doi: 10.1371/journal.pone.0016636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Huang Y, Li W, Chu D, Zheng J, Ji G, Li M, Zhang H, Wang W, Du J, Li J. Overexpression of matrix metalloproteinase-21 is associated with poor overall survival of patients with colorectal cancer. J Gastrointest Surg. 2011;15:1188–1194. doi: 10.1007/s11605-011-1519-5. [DOI] [PubMed] [Google Scholar]
  • 41.Salama P, Phillips M, Grieu F, Morris M, Zeps N, Joseph D, Platell C, Iacopetta B. Tumor-infiltrating FOXP3+ T regulatory cells show strong prognostic significance in colorectal cancer. J Clin Oncol. 2009;27:186–192. doi: 10.1200/JCO.2008.18.7229. [DOI] [PubMed] [Google Scholar]
  • 42.Nosho K, Baba Y, Tanaka N, Shima K, Hayashi M, Meyerhardt JA, Giovannucci E, Dranoff G, Fuchs CS, Ogino S. Tumour-infiltrating T-cell subsets, molecular changes in colorectal cancer, and prognosis: cohort study and literature review. J Pathol. 2010;222:350–366. doi: 10.1002/path.2774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Lappano R, Maggiolini M. G protein-coupled receptors: novel targets for drug discovery in cancer. Nat Rev Drug Discov. 2011;10:47–60. doi: 10.1038/nrd3320. [DOI] [PubMed] [Google Scholar]
  • 44.Overington JP, Al-Lazikani B, Hopkins AL. How many drug targets are there? Nat Rev Drug Discov. 2006;5:993–996. doi: 10.1038/nrd2199. [DOI] [PubMed] [Google Scholar]
  • 45.Zingoni A, Rocchi M, Storlazzi CT, Bernardini G, Santoni A, Napolitano M. Isolation and chromosomal localization of GPR31, a human gene encoding a putative G protein-coupled receptor. Genomics. 1997;42:519–523. doi: 10.1006/geno.1997.4754. [DOI] [PubMed] [Google Scholar]
  • 46.Pidgeon GP, Kandouz M, Meram A, Honn KV. Mechanisms controlling cell cycle arrest and induction of apoptosis after 12-lipoxygenase inhibition in prostate cancer cells. Cancer Res. 2002;62:2721–2727. [PubMed] [Google Scholar]
  • 47.McCabe NP, Selman SH, Jankun J. Vascular endothelial growth factor production in human prostate cancer cells is stimulated by overexpression of platelet 12-lipoxygenase. Prostate. 2006;66:779–787. doi: 10.1002/pros.20360. [DOI] [PubMed] [Google Scholar]
  • 48.Kerjaschki D, Bago-Horvath Z, Rudas M, Sexl V, Schneckenleithner C, Wolbank S, Bartel G, Krieger S, Kalt R, Hantusch B, et al. Lipoxygenase mediates invasion of intrametastatic lymphatic vessels and propagates lymph node metastasis of human mammary carcinoma xenografts in mouse. J Clin Invest. 2011;121:2000–2012. doi: 10.1172/JCI44751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Vonach C, Viola K, Giessrigl B, Huttary N, Raab I, Kalt R, Krieger S, Vo TP, Madlener S, Bauer S, et al. NF-κB mediates the 12(S)-HETE-induced endothelial to mesenchymal transition of lymphendothelial cells during the intravasation of breast carcinoma cells. Br J Cancer. 2011;105:263–271. doi: 10.1038/bjc.2011.194. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Pidgeon GP, Tang K, Cai YL, Piasentin E, Honn KV. Overexpression of platelet-type 12-lipoxygenase promotes tumor cell survival by enhancing alpha(v)beta(3) and alpha(v)beta(5) integrin expression. Cancer Res. 2003;63:4258–4267. [PubMed] [Google Scholar]
  • 51.Kandouz M, Nie D, Pidgeon GP, Krishnamoorthy S, Maddipati KR, Honn KV. Platelet-type 12-lipoxygenase activates NF-kappaB in prostate cancer cells. Prostaglandins Other Lipid Mediat. 2003;71:189–204. doi: 10.1016/s1098-8823(03)00042-x. [DOI] [PubMed] [Google Scholar]
  • 52.Karin M. Nuclear factor-kappaB in cancer development and progression. Nature. 2006;441:431–436. doi: 10.1038/nature04870. [DOI] [PubMed] [Google Scholar]
  • 53.Yamanaka N, Morisaki T, Nakashima H, Tasaki A, Kubo M, Kuga H, Nakahara C, Nakamura K, Noshiro H, Yao T, et al. Interleukin 1beta enhances invasive ability of gastric carcinoma through nuclear factor-kappaB activation. Clin Cancer Res. 2004;10:1853–1859. doi: 10.1158/1078-0432.ccr-03-0300. [DOI] [PubMed] [Google Scholar]
  • 54.Fehrenbacher N, Tojal da Silva I, Ramirez C, Zhou Y, Cho KJ, Kuchay S, Shi J, Thomas S, Pagano M, Hancock JF, et al. The G protein-coupled receptor GPR31 promotes membrane association of KRAS. J Cell Biol. 2017;216:2329–2338. doi: 10.1083/jcb.201609096. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from World Journal of Gastroenterology are provided here courtesy of Baishideng Publishing Group Inc

RESOURCES