Literature DB >> 19050704

Expression of uPAR mRNA in peripheral blood is a favourite marker for metastasis in gastric cancer cases.

Y Kita1, T Fukagawa, K Mimori, Y Kosaka, K Ishikawa, T Aikou, S Natsugoe, M Sasako, M Mori.   

Abstract

Urokinase-type plasminogen activator receptor (uPAR) plays a central role in the plasminogen activation cascade and participates in extracellular matrix degradation, cell migration and invasion. We evaluated the expression level of uPAR mRNA and the presence of isolated tumour cells (ITCs) in bone marrow (BM) and peripheral blood (PB) in gastric cancer patients and clarified its clinical significance. We assessed specific uPAR mRNA expression by quantitative real-time reverse transcriptase- polymerase chain reaction (RT-PCR) in BM and PB in 846 gastric cancer patients as well as three epithelial cell markers, carcinoembryonic antigen (CEA), cytokeratin (CK)-19 and CK-7. The uPAR mRNA expression in bone marrow and peripheral blood expressed significantly higher than normal controls (P<0.0001). The uPAR mRNA in BM showed concordant expression with the depth of tumour invasion, distant metastasis, and the postoperative recurrence (P=0.015, 0.044 and 0.010, respectively); whereas in PB, we observed more intimate significant association between uPAR expression and clinicopathologic variables, such as depth of tumour invasion, the distant metastasis, the venous invasion and the clinical stage (P=0.009, 0.002, 0.039 and 0.008, respectively). In addition, the uPAR mRNA expression in PB was an independent prognostic factor for distant metastasis by multivariate analysis. We disclosed that it was possible to identify high-risk patients for distant metastasis by measuring uPAR mRNA especially in peripheral blood at the timing of operation in gastric cancer patients.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19050704      PMCID: PMC2634681          DOI: 10.1038/sj.bjc.6604806

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


The presence of isolated tumour cells (ITCs) in bone marrow (BM) and peripheral blood (PB) is missed by conventional imaging system, and ITCs expected to be a determinant factor of subsequent formation of micrometastasis. The search for ITCs in patients with curatively resected tumours is of considerable importance, because early dissemination of tumour cells is one of the leading causes of relapse at the distant site and of death from cancer (Hellman, 1997). In spite of large number of studies to determine the clinicopathologic significance of ITCs in human solid carcinomas, much efforts have been made and found no definitive evidence to conclude these controversial issues, such as the way to identify ITCs and the appropriate biologic marker to predict the metastatic ability of gastric cancer cells (Heiss , 1997, 2002; Jauch ; Hardingham ; Lecomte ; Natsugoe ; Ikeguchi and Kaibara, 2005). To identify ITCs in BM or PB, a bunch of molecular targets, such as CEA, CK7, CK18, CK18, CK19 and MAGE families have been applied and examined whether those genes were applicable to detect ITCs. Above all candidates, CEA and cytokeratin (CK), epithelial cell surface markers were frequently used to be applied to detect ITCs instead of the direct detection of cancer cells in those ITC studies. However, our recent study disclosed that ITCs in BM and PB from gastric cancer could not be specified by the presence of CEA and/or CKs by RT–PCR, because those genes were detected ubiquitously among stages of 810 patients of gastric cancer. Therefore, we must identify a favourite marker to detect ITCs specifically as well as to predict metastasis precisely. In the current study, we focused on urokinase-type plasminogen activator receptor (uPAR) gene as a target molecule to detect isolated tumour cells in blood and bone marrow. This is because that in gastric cancer, several reports showed clearly that uPAR expression in bone marrow (BM) is one of the useful prognostic marker by immunohistochemistry (Heiss , 2002; Allgayer ). However, there are no earlier reports of the clinical significance of the gene expression level of uPAR with quantitative RT–PCR assay that enabled us to examine objectively and repeatedly. Therefore, the aim of the current study was to evaluate the expressions of uPAR mRNA in bone marrow and peripheral blood in more than 800 cases of gastric cancer and to define its clinicopathologic and prognostic significance in gastric cancer patients.

Materials and methods

Gastric cancer cases

A total of 846 gastric cancer patients who underwent surgical treatment in the National Cancer Center Hospital, Japan from 2001 to 2004 were studied. Clinical stages and pathological features of primary tumours were defined according to the classification of the International Union Against Cancer (Sobin and Fleming, 1997). There were 567 male and 279 female patients with average age 61.5, and a range of 27–87 years. None of these patients underwent endoscopic mucosal resection or palliative resection. Written informed consent had been obtained from all patients.

Normal controls

For normal negative controls, both peripheral blood and bone marrow were collected from 25 patients having no malignancy from April 2000 to March 2003. This group included 16 cases of gallstone, three cases of common bile duct stone, and six cases of incisional hernia. We extracted BM from the sternum of patients without malignancies but had operations under general anaesthesia.

Bone marrow and blood samples

Aspiration of both BM and PB was conducted immediately prior to operation under general anaesthesia. The aspirated BM was obtained from the sternum using a bone marrow aspiration needle (MDTECH, Gainesville, FL, USA). Peripheral blood was obtained through a venous catheter. The 1 ml of both BM and PB samples was discarded to avoid the contamination of the epidermal cells (Iinuma ). Each 1 ml sample of BM and PB was immediately mixed with 4 ml of ISOGEN-LS (Nippon Gene, Toyama, Japan) and stored at −80°C until RNA extraction.

Total RNA extraction and first strand cDNA synthesis

Total RNA was according to the ISOGEN-LS manufacturer's protocols. All the clinical samples obtained in National Cancer Center Hospital were sent to our institute. The reverse transcriptase reaction (RT) was performed as described earlier (Mori ; Masuda ). The first strand cDNA was synthesized from 2.7 μg of total RNA in a 30 μl reaction mixture containing 5 μl 5 × RT reaction buffer (BRL, Gaithersburg, MD, USA), 200 μM dNTP, 100 μM solution of random hexadeoxynucleotide mixture, 50 units of Rnasin (Promega, Madison, WI, USA), 2 μl of 0.1 M dithiothreitol, and 100 U of Molony leukaemia virus RT (BRL). The mixture was incubated at 37°C for 60 min, heated to 95°C for 10 min, and then chilled on ice.

Primers and probes for detecting ITCs and uPAR expression

Quantitative RT–PCR methodology was designed to optimise the specificity and fidelity of the assay. The Kyushu University group had previously investigated the expression of seven representative molecular markers (carcinoembryonic antigen (CEA), CK-7, CK-18, CK-19, CK-20, mammaglobin and mucin (MUC)-1) in 27 cancers and eight non-epithelial cell lines using quantitative RT–PCR. The expression levels of CK-7 and CK-19 showed high sensitivity and specificity for the identification of gastric cancer cells in comparison with the other markers (Masuda ). Those epithelial cell markers have been widely used as target genes for the detection of ITCs (Mori , 1998; Yamaguchi ; Bessa ; Sadahiro ). Thus, CEA, CK-7, CK-19 and GAPDH were studied by quantitative RT–PCR in all 846 patients (Mimori ). Isolated tumour cells were considered to be ‘present’ when any single marker was positive. The reverse transcriptase reaction was performed as described elsewhere (Mimori ). We performed real-time quantitative RT–PCR using a LightCycler instrument (Roche Diagnostics, Manheim, Germany) to detect ITCs in peripheral blood and/or bone marrow as the previous study. Moreover, a uPAR-specific oligonucleotide primer was designed as follows: sense, 5′-TGAATCAATGTCTGGTAGC-3′ and antisense, 5′-TGGTTACAGCCACTTTTAGT-3′. The donor and acceptor probe sequences for uPAR identification were 5′-GCTATATGGTAAGAGGCTGTGCAACCGCCT-fluorescein and 5′-LC-Red640-AATGTGCCAACATGCCCACCTGGG T -phosphorylation. Besides, uPA primers were as follows: forward primer; CTGTGACTGTCTAAATGGAGG; and the reverse primer; GACGATGTAGTCCTCCTTCTT (Nielsen ). Preliminary trials were undertaken to assure that results were accurate and reliable. We utilised highly specific hybridisation probes and primers to maintain high specificity for target genes and thereby reduce false positive outcomes.

RT–PCR conditions

PCR amplification was performed using a quantitative fluorescence LightCycler™ (Roche Diagnostics, Mannheim, Germany) in a 20 μl reaction mixture containing 2 μl of LightCyclert FastStart DNA Master Hybridisation Probes (Roche, Diagnostics, Tokyo, Japan), 4.0 μl MgCl2, 0.3 μM sense and antisense primers, 0.2 μM fluorescent probe, 0.2 μM LC-Red probe and 5 μl of undiluted template cDNA in LightCyclert capillaries (Roche Diagnostics, Tokyo, Japan). The amplification of CEA profile consisted of one cycle at 95°C for 10 min (denaturation) followed by 45 cycles of 95°C for 15 s, 56°C for 15 s and 72°C for 13 s. The amplification of CK-7 profile consisted of one cycle at 95°C for 10 min (denaturation) followed by 50 cycles of 95°C for 10 s, 60°C for 12 s and 72°C for 10 s. The amplification of CK-19 profile consisted of one cycle at 95°C for 10 min (denaturation) followed by 45 cycles of 95°C for 10 s, 60°C for 15 s and 72°C for 16 s. The amplification of uPAR profile consisted of one cycle at 95°C for 10 min (denaturation) followed by 40 cycles of 95°C for 10 s, 62°C for 15 s and 72°C for 8 s. The amplification of GAPDH profile consisted of one cycle at 95°C for 10 min (denaturation) followed by 40 cycles of 95°C for 15 s, 60°C for 15 s and 72°C for 13 s. The amplification of uPA was as follows: 5 min at 94°C, 27 cycles of 1 min at 94°C, 1 min at 56°C, 1 min at 72°C, then 10 min at 72°C (Nielsen ). Real-time PCR was monitored by measuring fluorescent signals at the end of the annealing phase for each cycle. All primers and probes were synthesized and purified by reverse phase high-performance liquid chromatography and the optimal reagent concentrations and PCR cycling conditions were established and each run of RT–PCR included positive controls synthesized from plasmids by the Nippon Gene Research Laboratories (Sendai, Japan). Real-time RT–PCR assays were repeated in triplicate and adapted the mean value. Quantification data were analysed using the Light-Cycler™ software (Roche Diagnostics, Tokyo, Japan).

Data analysis

A standard curve was prepared with 200–20 000 copies of purified plasmids containing CEA, CK-7, CK-19, uPAR and GAPDH. After proportional baseline adjustment, the fit point method was employed to determine the cycle in which the log-linear signal was first distinguishable from the baseline, and then that cycle number was used as a crossing-point value (Marutsuka ). The standard curve was produced by measuring the crossing point of each standard value and plotting them against the logarithmic value of concentrations. Those concentrations were calculated by plotting their crossing points against the standard curve. Expression of CEA, CK-7, CK-19 and uPAR was adjusted in each case for GAPDH expression. We set cutoff values for those expression ratios (CEA/GAPDH, CK-7/GAPDH, CK-19/GAPDH, uPAR/GAPDH) as the highest value for each marker in 25 normal controls. We distributed high level as ‘positive’ and low level as ‘negative’ than the cutoff value. For continuous variables, the data were expressed as the mean±s.d. Statistical analysis of group differences was performed using the χ2 test and the Student's t-test. Logistic regression model was used to identify the independent predictors of distant metastasis. All tests were analysed using JMP software (SAS Institute Inc., Cary, NC, USA). Statistical significance was determined as P-value from two-sided tests of less than 0.05.

Results

Expression of uPAR mRNA in BM and PB of gastric cancer patients

In BM, the value of the uPAR expression of gastric cancer patients (6.0±0.24 ( × 10−3)) was significantly higher (P<0.0001) than those of control cases (9.94±0.93 ( × 10−4)), as shown in Figure 1. In PB, the value of the uPAR expression of gastric cancer patients (1.49±0.11 ( × 10−2)) was also significantly higher (P<0.0001) than those of control cases (1.57±0.66 ( × 10−3)).
Figure 1

Comparison of uPAR mRNA expression between control gastric cancer patients in bone marrow (A) and peripheral blood (B). Horizontal lines indicate the mean expression levels in control and gastric cancer patients. In bone marrow and peripheral blood, the value of the uPAR expression of gastric cancer patients was significantly higher (P<0.0001) than those of control cases. The P-value was calculated by a student's t-test.

Clinical magnitude of uPAR expression in gastric cancer patients

The correlations between the results for the uPAR mRNA level and clinicopathologic factors are summarised in Table 1. Using each cutoff value, 431 (50.9%) and 404 (47.8%) of 846 patients were estimated to be positive for uPAR mRNA in BM and PB, respectively.
Table 1

Relationship between uPAR expression in bone marrow and peripheral blood and clinicopathologic findings

   uPAR expression in bone marrow
  uPAR expression in peripheral blood
 
   Positive Negative   Positive Negative  
Total 846 n=431 (50.9%) n=415 (49.1%) P-value n=404 (47.8%) n=442 (52.2%) P-value
Age (mean±s.d.a) 60.4±0.5562.7±0.56NS61.5±0.5761.6±0.55NS
Gender    0.233  0.688
 Male567297 (69.1)270 (65.2) 268 (66.5)299 (67.8) 
 Female279134 (30.9)145 (34.8) 136 (33.5)143 (32.2) 
Histology   0.127  0.174
 Differentiated188105 (24.4)83 (20.0) 98 (24.3)90 (20.4) 
 Undifferentiated658326 (75.6)332 (80.0) 306 (75.7)352 (79.6) 
pT   0.015  0.009
 pT1/T2657320 (74.3)337 (81.2) 298 (73.8)359 (81.2) 
 pT3/T4189111 (25.7)78 (18.8) 106 (26.2)83 (18.8) 
pN   0.707  0.072
 pN0496250 (58.0)246 (59.3) 224 (55.5)272 (61.5) 
 pN1350181 (42.0)169 (40.7) 180 (44.5)170 (38.5) 
pM (Distant metastasisa)   0.044  0.002
 pM0743369 (85.6)374 (90.1) 340 (84.2)403 (91.2) 
 pM110362 (14.4)41 (9.9) 64 (15.8)39 (8.8) 
Postoperative recurrence   0.01  0.115
 Non recurrence833420 (97.5)413 (99.5) 395 (97.8)438 (99.1) 
 Recurrence1311 (2.5)2 (0.5) 9 (2.2)4 (0.9) 
Lymphatic invasion   0.617  0.16
 Negative486244 (58.3)242 (58.3) 222 (55.0)264 (59.7) 
 Positive360187 (56.6)173 (41.7) 182 (45.0)178 (40.3) 
Venous invasion   0.425  0.039
 Negative702362 (83.9)340 (81.9) 324 (80.2)378 (85.5) 
 Positive14469 (16.1)75 (18.1) 80 (19.8)64 (14.5) 
Stage   0.081  0.008
 I, II634312 (72.4)322 (77.6) 286 (70.8)348 (78.7) 
 III, IV212119 (27.6)93 (22.4) 118 (29.2)94 (21.3) 

Gastric cancer case with liver (H1) and/or lung metastasis (M1), cytology positive of peritoneal washes (CY1), peritoneal dissemination (P), and lymph node metastasis in the distant region (N3).

In BM, the significantly higher population of the uPAR mRNA-positive cases belongs to the following clinical subgroups: invasion deeper than the muscularis propria (P=0.015), perioperative overt metastases (including liver and/or lung and/or distant lymph node metastasis, P=0.044) and postoperative recurrence (P=0.010). In PB, the higher expression was observed significantly in subgroup invasion deeper than the muscularis propria (P=0.009), perioperative overt metastases (P=0.002), venous invasion (P=0.039), and the clinical stage (P=0.008).

Multivariate analysis for distant metastasis

Univariate and multivariate logistic regression analyses were performed on cases with distant metastasis (Table 2). Univariate regression analysis showed that the following factors were significantly associated with distant metastasis: histological grade, tumour size, lymph node metastasis, lymphatic invasion, venous invasion and uPAR mRNA expressions in BM and PB (P<0.05), respectively. Multivariate regression analysis indicated that uPAR mRNA high expression group in PB (relative risk (RR); 1.85, 95 % confidence interval (CI); 1.08–3.23, P=0.03) was an independent predictor for distant metastasis next to the incidence lymph node metastasis (RR; 6.50, 95 % CI; 2.99–15.77, P<0.0001) and depth of tumour invasion (RR; 28.2, 95% CI; 14.3–70.0, P<0.0001).
Table 2

Univariate and multivariate analysis for distant metastasis (logistic regression model)

  Univariate analysis
Multivariate analysis
  RR 95% CI P-value RR 96% CI P-value
Histological grade (Differentiated/undifferentiated)2.351.31–2.35<0.00010.580.24–1.450.239
pT (Depth of tumour invasion)49.9127.36–99.07<0.000128.1714.30–60.95<0.0001
pN (Lymph node metastasis)22.7811.56–51.49<0.00016.52.99–15.77<0.0001
Lymphatic invasion12.126.89–23.12<0.0001
Venous invasion4.552.91–7.10<0.00011.610.90–2.880.106
uPAR mRNA expression in bone marrow1.531.01–2.350.046
uPAR mRNA expression in peripheral blood1.951.28–2.990.0021.851.08–3.230.0207

The comparison of uPA and uPAR expression in representative gastric cancer cases

The potential importance of uPAR for the development of minimal residual disease in solid cancer has been focused on for recent two decades; however, several studies revealed that the relevance of a ligand for uPAR, uPA in mediating tumour-associated proteolysis, invasion and metastasis together with uPAR expression (Andreasen ). We examined uPA expression in bone marrow and peripheral blood in representative 83 cases of gastric cancer, including 18 cases of liver and/or lung metastasis, and 12 cases of recurrence of disease among 846 cases of gastric cancer. As we showed in Table 3, we found that uPA expression in bone marrow from gastric cancer is correlated with the incidence of lymph node metastasis and recurrence of gastric cancer cases as uPAR expression.
Table 3

Clinicopathologic significance of uPAR and uPA expressions in bone marrow (BM) and peripheral blood (PB) from gastric cancer cases

   uPAR-BM
  uPAR-PB
  uPA-BM
  uPA-PB
 
  n Mean s.d. P-value Mean s.d. P-value Mean s.d. P-value Mean s.d. P-value
ly    NS  NS  NS  NS
 −588.9E-036.2E-03 1.4E-028.1E-03 2.1E-021.3E-02 2.4E-032.2E-03 
 +251.1E-021.1E-02 1.3E-029.5E-03 2.2E-021.8E-02 3.1E-037.3E-03 
              
v    NS  NS  NS  NS
 −659.7E-037.8E-03 1.3E-028.3E-03 2.1E-021.2E-02 2.2E-032.1E-03 
 +189.3E-039.0E-03 1.5E-029.2E-03 2.4E-022.0E-02 4.0E-038.6E-03 
              
n     0.0006   NS   0.0002   NS
 −627.9E-035.4E-03 1.3E-028.5E-03 1.8E-021.2E-02 2.8E-035.1E-03 
 +211.5E-021.2E-02 1.3E-028.7E-03 3.1E-021.7E-02 2.1E-031.3E-03 
              
cy    NS  NS  NS  NS
 −719.2E-037.9E-03 1.3E-028.4E-03 2.1E-021.5E-02 2.5E-034.6E-03 
 +161.3E-028.5E-03 1.5E-028.1E-03 2.6E-021.5E-02 3.2E-032.6E-03 
              
P    NS  NS  NS  NS
 −809.5E-037.9E-03 1.3E-028.4E-03 2.1E-021.5E-02 2.6E-034.5E-03 
 +81.3E-029.4E-03 1.4E-027.6E-03 2.6E-021.6E-02 2.7E-031.9E-03 
              
met    NS  NS  NS   0.0265
 −709.2E-037.9E-03 1.3E-028.2E-03 2.0E-021.3E-02 2.1E-031.9E-03 
 +181.2E-028.7E-03 1.6E-028.4E-03 2.8E-021.9E-02 4.6E-038.7E-03 
              
rec     0.0072   NS   0.0409   NS
 −768.9E-036.6E-03 1.4E-028.6E-03 2.0E-021.5E-02 2.6E-034.6E-03 
 +121.6E-021.3E-02 1.1E-025.9E-03 3.0E-021.3E-02 2.2E-031.5E-03 

cy=cytology of peritoneal washes; ly=lymphatic permiation; met=liver and/or lung metastasis; n=lymph node metastasis; p=peritoneal dissemination; rec=recurrence; s.d.=standard deviation; v=vascular permiation. Significant differences (P<0.05) were described in bold letters.

The clinical significance of both positive ITCs and positive uPAR expression

We identified 66 cases out of 846 (7.8%) that were positive for expression of CEA in bone marrow, whereas 108 (12.7%) were positive in peripheral blood. As for CK-7, 71 patients (8.4%) and 147 cases (20.6%) were positive in bone marrow and in peripheral blood, respectively. Cytokeratin-19 expression was detected in bone marrow in 153 cases (18.1%) and in 251 cases (29.7%) in peripheral blood. Gastric cancer cases with positive expression of any one of the three markers were defined as ITC-positive in bone marrow or peripheral blood. As outlined above, ITCs were detected in 260 (30.7%) cases in bone marrow and 417 (49.3%) cases in peripheral blood. Moreover, we extracted 126 cases (14.9%) in BM and 200 cases (23.6%) in PB of positive ITCs and positive uPAR expression cases. Table 4 shows the clinicopathologic data and positive ITCs and positive uPAR cases from the 846 gastric cancer patients. In BM, the incidence of lymph node metastasis was significantly higher (P=0.012) in the both positive group (65 of 126, 51.6%) than in the other group (285 of 720, 39.6%), and the incidence of lymphatic invasion was significantly higher (P=0.009) in the both positive group (67 of 126, 53.2%) than in the other group (293 of 720, 40.7%). Moreover, the clinical stage was significantly higher (P=0.024) in the both positive group (42 of 126, 33.3%) than in the other group (170 of 720, 23.4%). In PB, there was no significance between the both positive group and the other group.
Table 4

Relationship between epithelial marker and uPAR expression in bone marrow and peripheral blood and clinicopathologic findings

   Epithelial marker and uPAR expression in BM
Epithelial marker and uPAR expression in PB
   Both positive Others   Both positive Others  
  Total (n=846) n=126 n=720 P-value n=200 n=646 P-value
Age (mean±s.d.*) 60.9±0.9761.6±0.43NS60.8±0.8161.7±0.45NS
Gender    0.403   
 Male56788 (69.8)479 (66.5) 130 (65.0)437 (67.6)0.526
 Female27938 (30.2)241 (33.5) 70 (35.0)209 (32.4) 
        
Histology    0.645   
 Differentiated18830 (23.8)158 (21.9) 45 (22.5)143 (22.1)0.914
 Undifferentiated65896 (76.2)562 (78.1) 155 (77.5)503 (77.9) 
        
pT    0.183   
 pT1/T265792 (73.0)565 (78.5) 147 (73.5)510 (79.0)0.11
 pT3/T418934 (27.0)155 (21.5) 53 (26.5)136 (21.0) 
        
pN     0.012  
 pN049661 (48.4)435 (60.4) 112 (56.0)384 (59.4)0.389
 pN135065 (51.6)285 (39.6) 88 (44.0)262 (40.6) 
        
pM (Distant metastasis)    0.108   
 pM0743105 (83.3)638 (88.6) 170 (85.0)573 (88.7)0.171
 pM110321 (16.7)82 (11.4) 30 (15.0)73 (11.3) 
        
Postoperative recurrence    0.145   
 Non recurrence833122 (96.8)711 (98.8) 197 (98.5)636 (98.5)0.961
 Recurrence134 (3.2)9 (1.2) 3 (1.5)10 (1.5) 
        
Lymphatic invasion    0.009   
 Negative48659 (46.8)427 (59.3) 117 (58.5)369 (57.1)0.73
 Positive36067 (53.2)293 (40.7) 83 (41.5)277 (42.9) 
        
Venous invasion    0.102   
 Negative70298 (77.8)604 (83.9) 162 (81.0)540 (83.6)0.399
 Positive14428 (22.2)116 (16.1) 38 (19.0)106 (16.4) 
        
Stage    0.024   
 I, II63484 (66.7)550 (76.4) 141 (70.5)493 (76.3)0.101
 III, IV21242 (33.3)170 (23.4) 59 (29.5)153 (23.7) 

*s.d.=standard deviation.

Discussion

In this study, we examined the clinicopathologic significance of uPAR expression in BM and PB in 846 cases of gastric cancer, and found that the depth of tumour invasiveness in the primary tumour was significantly higher in cases of uPAR (+) in BM and/or PB than uPAR(−) cases. In addition, we disclosed an evidence of the concordant relationship between the venous permeation in primary cancer and the incidence of uPAR expression. In spite of the strong association between tumour invasiveness, the presence of uPAR in PB was uncovered to be much more intimate to the incidence of metastasis and could be an independent prognostic indicator for hematogenous metastasis. Therefore, we consider that uPAR might play a consecutive role in cancer cells to invade into vessels and/or invading into the metastatic site. Furthermore, the clinical relevance of uPAR in bone marrow was observed with the incidence of recurrence, not with the synchronous distant metastasis. There was a possible explanation which is as follows, Kook reported that uPAR can play a role in tumour cell dormancy. They reported that a uPAR-antisense strategy in a human squamous carcinoma cell line resulting in a significant reduction of uPAR gene expression, induced tumour cell dormancy in their study. Besides, Laufs described this point in the review concerning uPAR. Therefore, the abundant expression of uPAR in bone marrow might indicate the presence of many dormant cells giving rise to recurrence in the future. In an earlier study by Jauch uPAR is a glycosyl-phosphatidylinositol-anchored glycoprotein localised on the outer layer of the plasma membrane of cells, and it binds to its specific ligands such as urokinase-type plasminogen activator (uPA). In this study, we confirmed the concordant relationship between uPAR and uPA in bone marrow and peripheral blood indicating that both proteins have a synergistic role with each other in lymph node metastasis and recurrence of gastric cancer. However, uPAR activation ultimately leads to degradation of the extracellular matrix and fascinates cellular movement for tumour cells, which appears to be necessary for diverse functions including local invasion and metastasis of tumour cells (Heiss ). Then, the second point is what is the origin of cells expressing uPAR gene in BM and especially in PB. As a matter of fact, Heiss , 1997, 2002) reported that the gastric cancer patients with cells with uPAR protein expression by immunocytology showed significantly poorer prognosis than cases without uPAR expression by Kaplan–Meier analysis in the previous study (Jauch ; Hardingham ). They confirmed that uPAR protein expressing cells on the surface cells was a cancer cell by immunocytological study. Their study strongly supported the current study by quantitative RT–PCR assay that the detected uPAR expression by RT–PCR should be originally from gastric cancer cells, and gastric cancer patients with cancer cells with the invasive ability especially in PB. Moreover, we additionally disclosed that cancer patients with simultaneous expression uPAR and epithelial cell markers, CEA, CK19 and CK7 showed a relatively poorer prognosis than ITCs alone. Gastric cancer cell isolated from primary cancer is circulating in the peripheral blood and bone marrow ubiquitously among whole stages (Mimori ); however, isolated cancer cells with several potential abilities must be required to form metastasis. According to this study, we concluded that uPAR-expressing isolated tumour cells are important in the determination of recurrence through lymph node metastasis. On the contrary to the hypothesis of the origin of uPAR expression in cancer cells, several studies have uncovered findings of the uPAR from host side cells in BM or PB from cancer patients. Pyke reported the abundant expression of uPAR in macrophage (Dubuisson ), and Sugai disclosed that advances in gastric cancer cases indicated the activation of inflammatory cytokines, such as IL-10 and IL-12 from macrophages. Furthermore, Hildenbrand mentioned that the abundant expression of uPAR was observed in endothelial cells, which has been recently really focused on as the key player for the initial development of metastasis. Mancuso reported that the number of circulating endothelial cells (CECs) in PB from cancer patients are more than that in healthy volunteers (Beerepoot ). Asahara reported that bone marrow-derived endothelial cell progenitor cells were disseminated to the neovascularisation of the cellular surface of malignant cells (Peters ). In addition, EPC-specific gene, Id-1, was reported to be identified and its consecutive role for metastasis has been reported in the recent study. Therefore, we considered that the presence of CEC or EPC in PB should be important to form metastasis, and our current study elucidated the role of uPAR especially in PB as the independent marker for metastasis. In this study, we concluded that the RT–PCR assay for uPAR expression in PB can be one of the favourite tumour markers to predict DFS in gastric cancer outpatients. Then, we disclosed the abundant expression of uPAR in gastric cancer cases with invasion and with venous invasion abilities. Earlier Heiss et al distinctively disclosed that uPAR expression in BM and PB in gastric cancer is originally from cancer cells themselves (Heiss ). However, as the clinicopathologic significance and the predictive role for metastasis is much more consecutive in uPAR in PB than in BM, uPAR might be originally expressed in endothelial (progenitor) cells as the host side reaction in gastric cancer patients. Further study will be required to address this controversial issue.
  34 in total

1.  Resting and activated endothelial cells are increased in the peripheral blood of cancer patients.

Authors:  P Mancuso; A Burlini; G Pruneri; A Goldhirsch; G Martinelli; F Bertolini
Journal:  Blood       Date:  2001-06-01       Impact factor: 22.113

2.  Expression and cellular localization of the urokinase-type plasminogen activator and its receptor in human hepatocellular carcinoma.

Authors:  L Dubuisson; A Monvoisin; B S Nielsen; B Le Bail; P Bioulac-Sage; J Rosenbaum
Journal:  J Pathol       Date:  2000-02       Impact factor: 7.996

3.  Minimal residual disease in gastric cancer: evidence of an independent prognostic relevance of urokinase receptor expression by disseminated tumor cells in the bone marrow.

Authors:  Markus Maria Heiss; Erich H Simon; Bianca C M Beyer; Klaus Uwe Gruetzner; Anwar Tarabichi; Rudolf Babic; Friedrich Wilhelm Schildberg; Heike Allgayer
Journal:  J Clin Oncol       Date:  2002-04-15       Impact factor: 44.544

Review 4.  The plasminogen activation system in tumor growth, invasion, and metastasis.

Authors:  P A Andreasen; R Egelund; H H Petersen
Journal:  Cell Mol Life Sci       Date:  2000-01-20       Impact factor: 9.261

5.  Significant detection of circulating cancer cells in the blood by reverse transcriptase-polymerase chain reaction during colorectal cancer resection.

Authors:  K Yamaguchi; Y Takagi; S Aoki; M Futamura; S Saji
Journal:  Ann Surg       Date:  2000-07       Impact factor: 12.969

6.  Prognostic value of postoperative detection of blood circulating tumor cells in patients with colorectal cancer operated on for cure.

Authors:  Xavier Bessa; Virgínia Piñol; Sergi Castellví-Bel; Elena Piazuelo; Antonio M Lacy; J Ignasi Elizalde; Josep M Piqué; Antoni Castells
Journal:  Ann Surg       Date:  2003-03       Impact factor: 12.969

7.  Detection of free-circulating tumor-associated DNA in plasma of colorectal cancer patients and its association with prognosis.

Authors:  Thierry Lecomte; Anne Berger; Franck Zinzindohoué; Stéphanie Micard; Bruno Landi; Hélène Blons; Philippe Beaune; Paul-Henri Cugnenc; Pierre Laurent-Puig
Journal:  Int J Cancer       Date:  2002-08-10       Impact factor: 7.396

8.  Hematogenous metastasis in gastric cancer requires isolated tumor cells and expression of vascular endothelial growth factor receptor-1.

Authors:  Koshi Mimori; Takeo Fukagawa; Yoshimasa Kosaka; Yoshiaki Kita; Kenji Ishikawa; Tsuyoshi Etoh; Hisae Iinuma; Mitsuru Sasako; Masaki Mori
Journal:  Clin Cancer Res       Date:  2008-05-01       Impact factor: 12.531

9.  Mechanisms of peritoneal metastasis after operation for non-serosa-invasive gastric carcinoma: an ultrarapid detection system for intraperitoneal free cancer cells and a prophylactic strategy for peritoneal metastasis.

Authors:  Takashi Marutsuka; Shinya Shimada; Kenji Shiomori; Naoko Hayashi; Yasushi Yagi; Takaaki Yamane; Michio Ogawa
Journal:  Clin Cancer Res       Date:  2003-02       Impact factor: 12.531

10.  Clinical and biological significance of S-phase kinase-associated protein 2 (Skp2) gene expression in gastric carcinoma: modulation of malignant phenotype by Skp2 overexpression, possibly via p27 proteolysis.

Authors:  Taka-aki Masuda; Hiroshi Inoue; Hideto Sonoda; Shinji Mine; Yasuji Yoshikawa; Keiko Nakayama; Kei-Ichi Nakayama; Masaki Mori
Journal:  Cancer Res       Date:  2002-07-01       Impact factor: 12.701

View more
  11 in total

1.  Mechanisms for nicotine in the development and progression of gastrointestinal cancers.

Authors:  Kendal Jensen; Syeda Afroze; Md Kamruzzaman Munshi; Micheleine Guerrier; Shannon S Glaser
Journal:  Transl Gastrointest Cancer       Date:  2012-04

2.  SPRY1 promotes the degradation of uPAR and inhibits uPAR-mediated cell adhesion and proliferation.

Authors:  Xiufeng Liu; Yan Lan; Di Zhang; Kai Wang; Yao Wang; Zi-Chun Hua
Journal:  Am J Cancer Res       Date:  2014-11-19       Impact factor: 6.166

Review 3.  Molecular mechanisms underlying the action of carcinogens in gastric cancer with a glimpse into targeted therapy.

Authors:  Elham Patrad; Solmaz Khalighfard; Taghi Amiriani; Vahid Khori; Ali Mohammad Alizadeh
Journal:  Cell Oncol (Dordr)       Date:  2022-09-23       Impact factor: 7.051

Review 4.  Liquid biopsy of gastric cancer patients: circulating tumor cells and cell-free nucleic acids.

Authors:  Masahiro Tsujiura; Daisuke Ichikawa; Hirotaka Konishi; Shuhei Komatsu; Atsushi Shiozaki; Eigo Otsuji
Journal:  World J Gastroenterol       Date:  2014-03-28       Impact factor: 5.742

5.  Evaluating the value of uPAR of serum and tissue on patients with cervical cancer.

Authors:  Jiexian Jing; Shumin Zheng; Cunzhi Han; Lili Du; Yongfeng Guo; Pei Wang
Journal:  J Clin Lab Anal       Date:  2012-01       Impact factor: 2.352

6.  Detection of carcinoembryonic antigen messenger RNA in blood using quantitative real-time reverse transcriptase-polymerase chain reaction to predict recurrence of gastric adenocarcinoma.

Authors:  Miao-Zhen Qiu; Zhuang-Hua Li; Zhi-Wei Zhou; Yu-Hong Li; Zhi-Qiang Wang; Feng-Hua Wang; Peng Huang; Fahad Aziz; Dao-Yuan Wang; Rui-Hua Xu
Journal:  J Transl Med       Date:  2010-10-31       Impact factor: 5.531

7.  Combined mRNA expression levels of members of the urokinase plasminogen activator (uPA) system correlate with disease-associated survival of soft-tissue sarcoma patients.

Authors:  Matthias Kotzsch; Viktor Magdolen; Thomas Greither; Matthias Kappler; Matthias Bache; Christine Lautenschläger; Susanne Füssel; Alexander W Eckert; Thomas Luther; Gustavo Baretton; Peter Würl; Helge Taubert
Journal:  BMC Cancer       Date:  2011-06-25       Impact factor: 4.430

8.  Circulating tumor cells (CTCs) detected by RT-PCR and its prognostic role in gastric cancer: a meta-analysis of published literature.

Authors:  Shuyi Wang; Gang Zheng; Boran Cheng; Fangfang Chen; Zhenmeng Wang; Yuanyuan Chen; You Wang; Bin Xiong
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

Review 9.  Role of urokinase receptor in tumor progression and development.

Authors:  Hyangsoon Noh; Sungguan Hong; Shuang Huang
Journal:  Theranostics       Date:  2013-06-25       Impact factor: 11.556

10.  Clinical significance of the uPA system in gastric cancer with peritoneal metastasis.

Authors:  Youcheng Ding; Hui Zhang; Mingan Zhong; Zhuqing Zhou; Zhixiang Zhuang; Hua Yin; Xujing Wang; Zhenggang Zhu
Journal:  Eur J Med Res       Date:  2013-08-28       Impact factor: 2.175

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.