Purpose: We previously established a novel murine monoclonal antibody(MH8-11) that recognized aminopeptidase N (APN)/cluster of differentiation antigen 13 (CD13). This monoclonal antibody inhibited human umbilical vein endothelial cells migration and capillary-like tube formation of human umbilical vein endothelial cells on Matrigel. In this study, we investigated the expression of APN/CD13 and the intratumor microvessel density (IMD) as the number of microvessel counts in 50 patients with pancreatic carcinoma.

Experimental Design: We investigated APN/CD13 gene expression using the reverse transcriptase-PCR. We also used immunohistochemistry with MH8-11 to investigate APN/CD13 protein expression. Moreover, we investigated the relationship between APN/CD13 expression and tumor angiogenesis by measuring the IMD.

Results: APN/CD13 gene expression detected by reverse transcriptase-PCR was positive in 50.0% (25 of 50) of the tumors, and APN/CD13 protein positive was detected by immunohistochemistry in 48.0% (24 of 50). APN/CD13 gene expression agreed well with the immunohistochemical findings (90.0% concordance). APN/CD13 was also significantly associated with an increase of the IMD (r = 0.71, P = 0.0003). However, APN/CD13 expression was not associated with various prognostic factors. The median survival time of patients with APN/CD13 expression was significantly shorter than that of patients without APN/CD13 expression (P = 0.009), and multivariate analysis showed that the APN/CD13 status was a significant independent factor (P = 0.016).

Conclusions: Our data suggest that APN/CD13 may be a new prognostic marker for patients with pancreatic carcinoma and may have a relationship with the angiogenesis for this cancer.

To grow beyond the size of 1–2 mm (1), primary tumors and metastases must develop an adequate blood supply through the process known as angiogenesis (2). The induction of angiogenesis is mediated by multiple angiogenic-mitogenic molecules that are released by both tumor cells and host cells (1). Various processes are involved, including the production of proteases such as urokinase and collagenase by both tumor and endothelial cells.

The migration of endothelial cells also plays a very important role in angiogenesis. We therefore assumed that inhibiting the migration of endothelial cells would be able to suppress angiogenesis and established a novel murine MAb3 (MH8-11) that inhibited endothelial cell migration and tube formation (3). This epitope was a Mr 165,000 protein, and the sequencing analysis revealed that it was almost identical to APN/CD13. APN/CD13 is a surface glycoprotein encoded by a gene located on the long arm of chromosome 15 at bands q25-26. This 967 amino acid integral membrane protein has a large extracellular COOH-terminal domain containing a pentapeptide motif, which is characteristic of members of the zinc-binding metalloprotease superfamily (4, 5, 6). APN/CD13 has been implicated in the tumor invasion (7, 8, 9). To investigate the clinical significance of APN/CD13 expression in pancreatic carcinoma, we performed a reverse transcriptase-PCR analysis to quantify the expression of this gene in tumor tissues from 50 patients with pancreatic carcinoma. Immunohistochemical assays were also performed to confirm the results of the reverse transcriptase-PCR. In addition, we investigated the relationship between APN/CD13 expression and angiogenesis by determining the IMD.

Patients and Surgical Specimens.

We examined 50 patients with pancreatic carcinoma who underwent surgery at the First Department of Surgery of Nara Medical University (Nara, Japan) between December 1992 and April 1999. The median age of the patients was 65.0 years, with a range of 47–80 years. Eight of the patients had distant metastasis, which was both solitary and resectable. After pancreatectomy, almost all of the patients received intraoperative radiation therapy, with 20 Gy of radiation delivered to the retroperitoneal area, including the origins of the portal vein and the celiac artery. Postoperative systemic chemotherapy was also administered to all of the patients. Tissues were obtained from all of the resected specimens and were rapidly frozen at −80°C for storage until use. The remainder of each specimen was fixed in 10% phosphate-buffered formalin and embedded in paraffin. Tumors were classified according to the TNM staging system (10). The TNM classification and the clinical characteristics of these patients are presented in Table 1.

Immunohistochemistry.

Immunohistochemical analysis was performed with a Vectastain ABC System (Vector Laboratories Inc., Burlingame, CA). After neutralization of endogenous peroxidase, sections on glass slides were preincubated in blocking serum and then were incubated overnight with hybridoma culture supernatant containing the MAb that recognized APN/CD13 and a mouse CD34 MAb (Nichirei Corporation, Tokyo, Japan) at a 1:20 dilution, respectively. After three washes in PBS, the sections were incubated for 2 h with biotinylated antimouse IgG, washed three times with PBS, incubated with avidin biotin peroxidase complex for 1 h, and again washed for 10 min with PBS. Reaction products were visualized with 3,3′-diaminobenzidine tetrahydrochloride, and the slides were counterstained with hematoxylin. Sections incubated with mouse myeloma SP2 supernatant served as negative reaction controls.

Evaluation of Immunostaining and Counting of Microvessels.

All of the immunostained sections were examined under low power (×4 objective) to identify regions containing low-staining invasive tumor cells. In cases of multiple areas of low intensity, five randomly selected areas were scored, and in sections where all of the staining appeared intense, one field was selected at random. The proportion of tumor cells showing high and low staining in each selected field was determined by counting individual tumor cells at high magnification. At least 200 tumor cells were scored per ×400 field. We set several cutoff points arbitrarily to select the best value preliminarily. When the percentage of APN/CD13-positive tumor cells within the tumor tissue specimen was ≥10%, significant differences were found with respect to the survival rate. As previously described (11, 12), we therefore selected 10% as the most appropriate cutoff value. Briefly, specimens with a ≥10% APN/CD13-positive tumor cells classified as positive and as negative when it was <10%. To count microvessels, the vessels in the four most highly vascularized areas were counted at ×200 magnification (4 fields of 0.785 mm2 each), and the average count was calculated. The microvessel count of the 50 tumors ranged from 20.9 to 117.5, with a mean count of 59.1 ± 26.7. We selected the mean value 59.1 as the cutoff point and classified the tumors into two groups as previously evaluated (11): tumors with a microvessel count >59.1 were classified as hypervascular, and tumors with a count ≤59.1 were classified as hypovascular. Tumor samples were examined and classified by two pathologists who had no knowledge of the clinical status.

Reverse Transcriptase-PCR.

Total RNA was isolated using the guanidine isothiocyanate method (13) and was transcribed to cDNA using a cDNA synthesis kit (Pharmacia, Piscataway, NJ) according to the manufacturer’s protocol. PCR amplification of APN/CD13 cDNA was carried out using specific primers cited in the GenBank database that yielded a 1459-bp product (upstream primer: 5′-GCCCAAGATGTCCACGTACT; downstream primer: 5′-GGTGCTGATGGCATTAACCT). As a control, specific primers for β-actin (upstream primer: 5′-GAGAGATGACCCAGATCATGT; downstream primer: 5′-ACTCCATGCCCAGGAAGGAAGG) were used (14). Initial denaturation at 94°C for 3 min was followed by 32 cycles of denaturation at 94°C for 40 s, annealing at 60°C for 40 s, and extension at 72°C for 90 s, with a final extension step at 72°C for 3 min. The same PCR conditions, but only 22 cycles, were used to amplify the β-actin DNA. PCR products were analyzed by gel electrophoresis and visualized with ethidium bromide staining and UV transillumination. A human pancreatic carcinoma cell line (PANC-1) was used as the positive control for APN/CD13 expression. The densitometric value obtained for the APN/CD13 bands from a given tumor tissue sample was divided by that for β-actin to calculate the APN/CD13 expression ratio. When the expression ratio of a given specimen was >0.5, it was defined as showing positive gene expression, whereas a value was ≤0.5 was defined as negative gene expression.

Statistical Analysis.

The overall cancer-specific survival time was calculated from the date of surgery to the date of death from pancreatic carcinoma. The significance of the difference between the incidence of APN/CD13 gene expression and several clinical and pathological parameters was assessed by the χ2 test or by the Mann-Whitney t test. Spearman rank correlation was used to assess association between APN/CD13 expression and the IMD. The Kaplan-Meier method was used to estimate the probability of survival, and significance was assessed with the log-rank test (15). Multivariate analysis was performed using the Cox regression model to study eight factors (APN/CD13 status, histopathological grade, tumor status, nodal status, metastatic status, pathological stage, gender, and age at surgery; Ref. 16). We use the term of tumor status as T factor, nodal status as N factor, and metastatic status as M factor in TNM classification, respectively. In pancreatic cancer, T1-T2 tumors are localized in the pancreas, whereas T3-T4 tumors extend directly into surrounding organs or adjacent large vessels. All Ps were based on two-tailed statistical analysis and P < 0.05 was considered to indicate statistical significance.

Immunohistochemical Analysis of APN/CD13 Protein Expression.

APN/CD13 protein was positive by immunohistochemistry in 48.0% (24 of 50) of the tumors. APN/CD13 protein was mainly found in the cell membrane and cytoplasm, but occasionally the nuclei of tumor cells and stromal cells (including fibroblasts and endothelial cells) were also stained (Fig. 1,A). By contrast, there were 26 cases (52.0%) with negative APN/CD13 protein expression (Fig. 1 B).

Microvessel Staining.

A single microvessel was defined as a row of brown immunostained endothelial cells that was separated from the adjacent microvessels, tumor cells, and other connective tissue elements (Fig. 1 C). Twenty-six tumors were evaluated to be hypervascular, and 24 tumors were hypovascular.

Reverse Transcriptase-PCR Analysis of APN/CD13.

Of the 50 tumors studied, 25 (50.0%) were positive for APN/CD13 gene expression, and 25 were negative (Fig. 2). The APN/CD13 gene expression ratio ranged from 0 to 2.53, with a median value of 0.50. APN/CD13 gene expression evaluated by the reverse transcriptase-PCR agreed with the immunohistochemical findings in 90.0% of the patients (Table 2). When there was a discrepancy, the reverse transcriptase-PCR results were used for classification.

Correlation between APN/CD13 Expression and the IMD.

There was a significant correlation between APN/CD13 expression and the IMD. (Spearman r = 0.71, P = 0.0003; Fig. 3).

Correlation between APN/CD13 Expression and Various Prognostic Factors.

The relationship between APN/CD13 expression and various prognostic factors is shown in Table 1. There was no significant relationship between APN/CD13 gene expression and the age at surgery, gender, tumor status, nodal status, metastatic status, pathological stage, or histopathological grade.

Correlation between APN/CD13 Expression and Overall Survival.

The prognosis of the patients with pancreatic carcinoma was very poor, and the overall survival rate was generally 0%. Among the 50 patients, the median survival time of those with tumors showing positive APN/CD13 expression was shorter than that of the patients with negative tumors (9.5 versus 13.2 months, P = 0.009; Table 3 and Fig. 4). In addition, significant differences were noted between patients with tumors positive and negative for APN/CD13 expression in the case of the following variables: younger patients (4.9 versus 24.6 months, P = 0.013); male patients (8.3 versus 13.2 months, P = 0.002); T2 tumor status (8.3 months versus not reached, P = 0.024); N0 nodal status (9.7 versus 27.6 months, P = 0.026); M0 metastatic status (11.2 versus 24.6 months, P = 0.015); and G2 histopathological grade (6.7 versus 13.0 months, P = 0.026). Multivariate analysis of the 50 patients showed that APN/CD13 expression was a significant independent prognostic factors (P = 0.016; Table 4).

In Europe and North America, the incidence of pancreatic carcinoma has remained unchanged over the past 20 years, and it currently ranks as the fifth most common cause of cancer-related death in Western countries (17). Because of the high rate of recurrence, surgery alone seems to be inadequate for the treatment of pancreatic carcinoma. To improve the poor prognosis of this tumor, new clinical approaches are required. Recently, various antiangiogenesis therapies have been reported (18, 19, 20).

It is now widely accepted that angiogenesis plays an important role in tumor development because a tumor nodule is unable to grow larger than ∼1 mm3 without creating a new blood supply (2). Vessels migrate into the tumor, and then the tumor grows toward the vessels, after which the endothelial basement membrane undergoes degradation, and new vascular loops are created (21). We have targeted endothelial cell migration and have established a novel murine MAb MH8-11 recognizing APN/CD13 (3). In 1989, human myeloid plasma membrane glycoprotein CD13 was shown to be identical to APN (22). It is expressed by many tissues, particularly the brush border membrane of the small intestine, the proximal renal tubules, synaptic membranes in the central nervous system, and of monocytes and granulocytes (4, 23). On the other hand, it was reported that APN/CD13 expression, although not seen on normal melanocytes, was observed on malignant melanoma cells (24). APN/CD13 has been shown to play an important role in the invasion of metastatic tumors in vitro(7), and an association of APN/CD13 with angiogenesis was reported recently (25). Treatment of animals with APN/CD13 inhibitors significant decrease of retinal neovascularization, chorioallantoic membrane angiogenesis, and xenograft tumor growth (25). Bhagwat et al.(26) reported that APN/CD13 mRNA and protein expression were transcriptionally up-regulated in endothelial cells, and cell lines under conditions that are characteristic of the tumor microenvironment such as hypoxia and increased angiogenic growth factor concentrations, as well as by signals regulating capillary formation and xenograft tumor growth. They also suggested that APN/CD13 might regulate endothelial morphogenesis during angiogenesis (26). In this study, we found a significant relationship between APN/CD13 expression and a poor prognosis in patients with pancreatic carcinoma (P = 0.009). In addition, we showed that APN/CD13 was an independent prognostic factor that was unrelated to various clinicopathological variables in 50 patients with pancreatic carcinoma (P = 0.016). Moreover, there was a significant correlation between APN/CD13 expression and the IMD (r = 0.71, P = 0.0003; Fig. 3).

Bestatin is a dipeptide that was discovered in the culture filtrate of Streptomyces olivoreticuli(27) and is known to be a competitive inhibitor of APN/CD13. Bestatin has already been used clinically to treat acute myeloid leukemia in Japan. Antiangiogenesis therapy is currently being investigated around the world, including the use of gene therapy, recombinant antiangiogenic proteins, monoclonal antibodies, and various drugs (28, 29). Although some of these agents are undergoing clinical trials, no treatment is widely available at present. Our findings suggested that bestatin may be useful as an antiangiogenic agent for patients with pancreatic carcinoma.

In summary, we showed that APN/CD13 is a possible new prognostic marker for pancreatic carcinoma and that it may be one of the angiogenic factors in patients with this cancer. Accordingly, the inhibition of APN/CD13 may be an effective new strategy for pancreatic carcinoma therapy.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1

This work was supported, in part, from the Ministry of Education, Science, Sports and Culture of Japan Grant-in-Aids 14370421 (to M. M.) and 14770651 (to N. I.) and a grant from the Vehicle Racing Commemorative Foundation (to M. M.).

3

The abbreviations used are: MAb, monoclonal antibody; IMD, intratumor microvessel density; APN, aminopeptidase N; CD13, cluster of differentiation antigen 13; TNM, tumor node metastasis.

Fig. 1.

Immunohistochemical staining of human pancreatic carcinomas with MAb MH8-11 recognizing APN/CD13 and with MAb for CD34, respectively. A, APN/CD13-positive tumor. B, APN/CD13-negative tumor. C, CD34-positive tumor.

Fig. 1.

Immunohistochemical staining of human pancreatic carcinomas with MAb MH8-11 recognizing APN/CD13 and with MAb for CD34, respectively. A, APN/CD13-positive tumor. B, APN/CD13-negative tumor. C, CD34-positive tumor.

Close modal
Fig. 2.

Agarose gel electrophoresis of the reverse transcriptase-PCR-amplified 1459-bp fragment of APN/CD13 (A) and the amplified internal control (β-actin; B). Lane 1, size marker; Lane 2, a human pancreatic cancer cell line (PANC-1) used as the positive control for APN/CD13 expression; Lanes 3–5, pancreatic adenocarcinomas showing APN/CD13 positivity; Lanes 6–8, tumors evaluated as negative for APN/CD13.

Fig. 2.

Agarose gel electrophoresis of the reverse transcriptase-PCR-amplified 1459-bp fragment of APN/CD13 (A) and the amplified internal control (β-actin; B). Lane 1, size marker; Lane 2, a human pancreatic cancer cell line (PANC-1) used as the positive control for APN/CD13 expression; Lanes 3–5, pancreatic adenocarcinomas showing APN/CD13 positivity; Lanes 6–8, tumors evaluated as negative for APN/CD13.

Close modal
Fig. 3.

Correlation between APN/CD13 expression and the IMD. The APN/CD13 expression ratio was significantly associated with the IMD.

Fig. 3.

Correlation between APN/CD13 expression and the IMD. The APN/CD13 expression ratio was significantly associated with the IMD.

Close modal
Fig. 4.

Overall survival of 50 patients with pancreatic carcinoma in relation to their APN/CD13 status.

Fig. 4.

Overall survival of 50 patients with pancreatic carcinoma in relation to their APN/CD13 status.

Close modal
Table 1

Correlation between APN/CD13 status and known prognostic factors

Total (n)APN/CD13P
PositiveNegative
Age at surgery     
 <60 13 NSa,b 
 ≥60 37 21 16  
Gender     
 Male 36 18 18 NSb 
 Female 14  
Tumor status     
 T1 NSc 
 T2 10  
 T3 21 11 10  
 T4 17  
Nodal status     
 N0 27 12 15 NSb 
 N1 23 13 10  
Metastatic status     
 M0 42 21 21 NSb 
 M1  
Pathological stage     
 Stage I NSc 
 Stage II 10  
 Stage III 11  
 Stage IVA 14  
 Stage IVB  
Histopathologic grade     
 G1 15 NSc 
 G2 29 16 13  
 G3  
Total number of patients 50 25 25  
Total (n)APN/CD13P
PositiveNegative
Age at surgery     
 <60 13 NSa,b 
 ≥60 37 21 16  
Gender     
 Male 36 18 18 NSb 
 Female 14  
Tumor status     
 T1 NSc 
 T2 10  
 T3 21 11 10  
 T4 17  
Nodal status     
 N0 27 12 15 NSb 
 N1 23 13 10  
Metastatic status     
 M0 42 21 21 NSb 
 M1  
Pathological stage     
 Stage I NSc 
 Stage II 10  
 Stage III 11  
 Stage IVA 14  
 Stage IVB  
Histopathologic grade     
 G1 15 NSc 
 G2 29 16 13  
 G3  
Total number of patients 50 25 25  
a

NS, not significant.

b

χ2 test.

c

Mann-Whitney’s U test.

Table 2

Relationship between immunohistochemical and reverse transcriptase-PCR results of APN/CD13a

ImmunohistochemistryReverse transcriptase-PCRTotal
APN/CD13-positiveAPN/CD13-negative
APN/CD13 positive 22 24 
APN/CD13 negative 23 26 
Total 25 25 50 
ImmunohistochemistryReverse transcriptase-PCRTotal
APN/CD13-positiveAPN/CD13-negative
APN/CD13 positive 22 24 
APN/CD13 negative 23 26 
Total 25 25 50 
a

P < 0.0001 (χ2 test).

Table 3

Correlation between APN/CD13 expression and overall survival of patients with pancreatic carcinoma

Total (n)Median survival time (month)P
APN/CD13
PositiveNegative
Age at surgery     
 <60 13 4.9 24.6 0.013 
 ≥60 37 9.7 11.0 NSa 
Gender     
 Male 36 8.3 13.2 0.002 
 Female 14 14.3 10.6 NS 
Tumor status     
 T1 NR NR ND 
 T2 10 8.3 NR 0.024 
 T3 21 12.7 13.0 NS 
 T4 17 6.7 10.6 NS 
Nodal status     
 N0 27 9.7 27.6 0.026 
 N1 23 8.5 8.7 NS 
Metastatic status     
 M0 42 11.2 24.6 0.015 
 M1 5.0 8.7 NS 
Pathological stage     
 Stage I 24.3 NRa NS 
 Stage II 10 14.0 27.6 NS 
 Stage III 11 11.2 13.0 NS 
 Stage IVA 14 6.3 10.6 NS 
 Stage IVB 5.0 8.7 NS 
Histopathological grading     
 G1 15 11.2 27.6 NS 
 G2 29 6.7 13.0 0.026 
 G3 8.5 4.2 NS 
Total number of patients 50 9.5 13.2 0.009 
Total (n)Median survival time (month)P
APN/CD13
PositiveNegative
Age at surgery     
 <60 13 4.9 24.6 0.013 
 ≥60 37 9.7 11.0 NSa 
Gender     
 Male 36 8.3 13.2 0.002 
 Female 14 14.3 10.6 NS 
Tumor status     
 T1 NR NR ND 
 T2 10 8.3 NR 0.024 
 T3 21 12.7 13.0 NS 
 T4 17 6.7 10.6 NS 
Nodal status     
 N0 27 9.7 27.6 0.026 
 N1 23 8.5 8.7 NS 
Metastatic status     
 M0 42 11.2 24.6 0.015 
 M1 5.0 8.7 NS 
Pathological stage     
 Stage I 24.3 NRa NS 
 Stage II 10 14.0 27.6 NS 
 Stage III 11 11.2 13.0 NS 
 Stage IVA 14 6.3 10.6 NS 
 Stage IVB 5.0 8.7 NS 
Histopathological grading     
 G1 15 11.2 27.6 NS 
 G2 29 6.7 13.0 0.026 
 G3 8.5 4.2 NS 
Total number of patients 50 9.5 13.2 0.009 
a

NS, not significant; ND, not done; NR, not reached.

Table 4

Multivariate cox analysis of overall survival of 50 patients with pancreatic carcinoma

VariableAssigned scoreβSEχ2Hazard ratio (95% CI)P
APN/CD13 status  −0.913 0.379 5.805 0.401 (0.191–0.844) 0.016 
 Negative      
 Positive      
Histopathological grading  0.272 0.365 0.554 1.312 (0.642–2.683) 0.457 
 G1      
 G2      
 G3      
Tumor status  0.269 0.350 0.588 1.308 (0.659–2.598) 0.443 
 T1      
 T2      
 T3      
 T4      
Nodal status  −0.146 0.398 0.134 0.864 (0.396–1.887) 0.714 
 N0      
 N1      
Metastatic status  −0.273 0.913 0.089 0.761 (0.127–4.555) 0.765 
 M0      
 M1      
Pathological stage  0.478 0.306 2.434 1.612 (0.885–2.939) 0.119 
 I      
 II      
 III      
 IVA      
 IVB      
Gender  −0.097 0.398 0.059 0.908 (0.416–1.981) 0.808 
 Male      
 Female      
Age  −0.078 0.399 0.038 0.925 (0.423–2.024) 0.846 
 <60      
 ≥60      
VariableAssigned scoreβSEχ2Hazard ratio (95% CI)P
APN/CD13 status  −0.913 0.379 5.805 0.401 (0.191–0.844) 0.016 
 Negative      
 Positive      
Histopathological grading  0.272 0.365 0.554 1.312 (0.642–2.683) 0.457 
 G1      
 G2      
 G3      
Tumor status  0.269 0.350 0.588 1.308 (0.659–2.598) 0.443 
 T1      
 T2      
 T3      
 T4      
Nodal status  −0.146 0.398 0.134 0.864 (0.396–1.887) 0.714 
 N0      
 N1      
Metastatic status  −0.273 0.913 0.089 0.761 (0.127–4.555) 0.765 
 M0      
 M1      
Pathological stage  0.478 0.306 2.434 1.612 (0.885–2.939) 0.119 
 I      
 II      
 III      
 IVA      
 IVB      
Gender  −0.097 0.398 0.059 0.908 (0.416–1.981) 0.808 
 Male      
 Female      
Age  −0.078 0.399 0.038 0.925 (0.423–2.024) 0.846 
 <60      
 ≥60      

We thank Drs. Tadashi Ohbayashi and Tomoko Okuno for the histological examination of the tumor samples, Sinji Hirai for his technical assistance, and Mitsuko Shirata for her assistance in preparation of the manuscript.

1
Folkman J. Angiogenesis in cancer, vascular, rheumatoid and other disease.
Nat. Med.
,
1
:
27
-31,  
1995
.
2
Folkman J. What is the evidence that tumors are angiogenesis dependent?.
J. Natl. Cancer Inst. (Bethesda)
,
82
:
4
-6,  
1990
.
3
Hashida H., Takabayashi A., Kanai M., Adachi M., Kondo K., Kohno N., Yamaoka Y., Miyake M. Aminopeptidase N is involved in cell motility and angiogenesis: its clinical significance in human colon cancer.
Gastroenterology
,
122
:
376
-386,  
2002
.
4
Dixon J., Kaklamanis L., Turley H., Hickson I. D., Leek R. D., Harris A. L., Gatter K. C. Expression of aminopeptidase-N (CD13) in normal tissues and malignant neoplasms of epithelial and lymphoid origin.
J. Clin. Pathol. (Lond.)
,
47
:
43
-47,  
1994
.
5
Look A. T., Peiper S. C., Rebentisch M. B., Ashmun R. A., Roussel M. F., Rettenmier C. W., Sherr C. J. Transfer and expression of the gene encoding a human myeloid membrane antigen (gp150).
J. Clin. Investig.
,
75
:
569
-579,  
1985
.
6
Sakai K., Hattori T., Sagawa K., Yokoyama M., Takatsuki K. Biochemical and functional characterization of MCS-2 antigen (CD13) on myeloid leukemic cells and polymorphonuclear leukocytes.
Cancer Res.
,
47
:
5572
-5576,  
1987
.
7
Saiki I., Fujii H., Yoneda J., Abe F., Nakajima M., Tsuruo T., Azuma I. Role of aminopeptidase N (CD13) in tumor-cell invasion and extracellular matrix degradation.
Int. J. Cancer
,
54
:
137
-143,  
1993
.
8
Ishii K., Usui S., Sugimura Y., Yoshida S., Hioki T., Tatematsu M., Yamamoto H., Hirano K. Aminopeptidase N regulated by zinc in human prostate participates in tumor cell invasion.
Int. J. Cancer
,
92
:
49
-54,  
2001
.
9
Fujii H., Nakajima M., Saiki I., Yoneda J., Azuma I., Tsuruo T. Human melanoma invasion and metastasis enhancement by high expression of aminopeptidase N/CD13.
Clin. Exp. Metastasis
,
13
:
337
-344,  
1995
.
10
Sobin L. H. Wittekind C. H. eds. .
TNM classification of malignant tumors
, Ed. 5
87
-90, John Wiley & Sons, Inc New York  
1997
.
11
Ikeda N., Adachi M., Taki T., Huang C., Hashida H., Takabayashi A., Sho M., Nakajima Y., Kanehiro H., Hisanaga M., Nakano H., Miyake M. Prognostic significance of angiogenesis in human pancreatic cancer.
Br. J. Cancer
,
79
:
1553
-1563,  
1999
.
12
Ikeda N., Nakajima Y., Sho M., Adachi M., Huang C., Iki K., Kanehiro H., Hisanaga M., Nakano H., Miyake M. The association of K-ras gene mutation and vascular endothelial growth factor gene expression in pancreatic carcinoma.
Cancer (Phila.)
,
92
:
488
-499,  
2001
.
13
Chomczynski P., Sacchi N. Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction.
Anal. Biochem.
,
162
:
156
-159,  
1987
.
14
Nakajima-Iijima S., Hamada H., Reddy P., Kakunaga T. Molecular structure of the human cytoplasmic β-actin gene: interspecies homology of sequences in the introns.
Proc. Natl. Acad. Sci. USA
,
82
:
6133
-6137,  
1985
.
15
Mantel N. Evaluation of survival data and two new rank order statistics arising in its consideration.
Cancer Chemother. Rep.
,
50
:
163
-170,  
1966
.
16
Cox D. R. Regression models and life tables.
J. R. Stat. Soc. B
,
34
:
187
-220,  
1972
.
17
Rosewicz S., Wiedenmann B. Pancreatic carcinoma.
Lancet
,
349
:
485
-489,  
1997
.
18
O’Reilly M. S., Boehm T., Shing Y., Fukai N., Vasios G., Lane W. S., Flynn E., Birkhead J. R., Olsen B. R., Folkman J. Endostatin: an endogenous inhibitor of angiogenesis and tumor growth.
Cell
,
88
:
277
-285,  
1997
.
19
Griscelli F., Li H., Bennaceur-Griscelli A., Soria J., Opolon P., Soria C., Perricaudet M., Yeh P., Lu H. Angiostatin gene transfer: inhibition of tumor growth in vivo by blockage of endothelial cell proliferation associated with a mitosis arrest.
Proc. Natl. Acad. Sci. USA
,
95
:
6367
-6372,  
1998
.
20
Fathallah-Shaykh H. M., Zhao L. J., Kafrouni A. I., Smith G. M., Forman J. Gene transfer of IFN-γ into established brain tumors represses growth by antiangiogenesis.
J. Immunol.
,
164
:
217
-222,  
2000
.
21
Harris A. L. Antiangiogenesis for cancer therapy.
Lancet
,
349
:
13
-15,  
1997
.
22
Look A. T., Ashmun R. A., Shapiro L. H., Peiper S. C. Human myeloid plasma membrane glycoprotein CD13 (gp150) is identical to aminopeptidase N.
J. Clin. Investig.
,
83
:
1299
-1307,  
1989
.
23
Ashmun R. A., Holmes K. V., Shapiro L. H., Favaloro E. J., Razak K., de Crom R. P. G., Howard C. J., Look A. T. .
CD13 (aminopeptidase N) cluster workshop report, leukocyte typing V. White cell differentiation antigens
,
771
-775, Oxford University Press Oxford  
1995
.
24
Menrad A., Speicher D., Wacker J., Herlyn M. Biochemical and functional characterization of aminopeptidase N expressed by human melanoma cells.
Cancer Res.
,
53
:
1450
-1455,  
1993
.
25
Pasqualini R., Koivunen E., Kain R., Lahdenranta J., Sakamoto M., Stryhn A., Ashmun R. A., Shapiro L. H., Arap W., Ruoslahti E. Aminopeptidase N is a receptor for tumor-homing peptides and a target for inhibiting angiogenesis.
Cancer Res.
,
60
:
722
-727,  
2000
.
26
Bhagwat S. V., Lahdenranta J., Giordano R., Arap W., Pasqualini R., Shapiro L. H. CD13/APN is activated by angiogenic signals and is essential for capillary tube formation.
Blood
,
97
:
652
-659,  
2001
.
27
Umezawa H., Aoyagi T., Suda H., Hamada M., Takeuchi T. Bestatin, an inhibitor of aminopeptidase B, produced by actinomycetes.
J. Antibiot. (Tokyo)
,
29
:
97
-99,  
1976
.
28
Ferrara N., Alitalo K. Clinical applications of angiogenic growth factors and their inhibitors.
Nat. Med.
,
5
:
1359
-1364,  
1999
.
29
Lau K., Bicknell R. Antiangiogenic gene therapy.
Gene Ther.
,
6
:
1793
-1795,  
1999
.