Skip to content

Advertisement

  • Research article
  • Open Access
  • Open Peer Review

Altered glutamyl-aminopeptidase activity and expression in renal neoplasms

  • 1,
  • 1,
  • 1, 2,
  • 2,
  • 3,
  • 3,
  • 1,
  • 1,
  • 4 and
  • 1, 2Email author
BMC Cancer201414:386

https://doi.org/10.1186/1471-2407-14-386

©  Blanco et al.; licensee BioMed Central Ltd. 2014

  • Received: 23 June 2013
  • Accepted: 8 May 2014
  • Published:
Open Peer Review reports

Abstract

Background

Advances in the knowledge of renal neoplasms have demonstrated the implication of several proteases in their genesis, growth and dissemination. Glutamyl-aminopeptidase (GAP) (EC. 3.4.11.7) is a zinc metallopeptidase with angiotensinase activity highly expressed in kidney tissues and its expression and activity have been associated wtih tumour development.

Methods

In this prospective study, GAP spectrofluorometric activity and immunohistochemical expression were analysed in clear-cell (CCRCC), papillary (PRCC) and chromophobe (ChRCC) renal cell carcinomas, and in renal oncocytoma (RO). Data obtained in tumour tissue were compared with those from the surrounding uninvolved kidney tissue. In CCRCC, classic pathological parameters such as grade, stage and tumour size were stratified following GAP data and analyzed for 5-year survival.

Results

GAP activity in both the membrane-bound and soluble fractions was sharply decreased and its immunohistochemical expression showed mild staining in the four histological types of renal tumours. Soluble and membrane-bound GAP activities correlated with tumour grade and size in CCRCCs.

Conclusions

This study suggests a role for GAP in the neoplastic development of renal tumours and provides additional data for considering the activity and expression of this enzyme of interest in the diagnosis and prognosis of renal neoplasms.

Keywords

  • Glutamyl-aminopeptidase
  • Aminopeptidase A
  • Angiotensinase
  • Angiotensin
  • Clear cell renal cell carcinoma
  • Renal neoplasm

Background

Clinical data support the fact that renal cell carcinomas (RCCs) are neoplasms with high prevalence and mortality rates [1]. The 2004 WHO classification of renal tumours in adults includes newly reported entities [2] and links the classical histological findings of these neoplasms to a wide spectrum of genetic abnormalities [3] still not fully defined. Clear cell renal cell carcinoma (CCRCC) is by far the most frequent histological subtype, accounting for approximately 70% of the cases. The proximal convoluted tubule is the proposed site of origin for CCRCC. Papillary renal cell carcinoma (PRCC) is the second most frequent subtype (10%–15%) and also arises in the proximal convoluted tubule. Chromophobe renal cell carcinoma (ChRCC) and renal oncocytoma (RO), both of which originate from the intercalated cells of the collecting ducts in the distal nephron and are thought to share a common lineage, are much less frequent, accounting for approximately 5% of the cases each [2].

At present, there is no clinical marker to detect the disease in the asymptomatic potentially curable phase or to reliably predict the clinical course of every case. Only classic pathological parameters such as histological subtype, tumour stage and grade may contribute to that purpose. However, depending on the clinical setting and other circumstances, many renal tumours escape the expected behaviour and this means it is necessary to discover more predictable parameters [4].

Recent findings have revealed the implication of several proteases in the genesis, growth and dissemination of renal neoplasms. Significant effort has been made towards understanding the role of matrix metalloproteinases [4–7]. In parallel, an increasing number of studies show significant changes in the expression and activity of peptidases in these tumours and point to these proteins not only as potential diagnostic and prognostic markers but also as therapeutic targets [8–12].

Glutamyl-aminopeptidase (GAP), also known as aminopeptidase A (EC. 3.4.11.7), is a membrane-bound zinc metallopeptidase that removes N-terminal acidic residues from peptides such as angiotenin II, its best known natural substrate [13]. GAP has a widespread tissue distribution and participates in many diverse biological processes [14]. This enzyme is involved in the development of kidney structures [14] and is expressed in the glomerulus and in the tubular system of the nephron [15], where it has been described as the gp160 human kidney differentiation antigen [16].

Immunoassay and semiquantitative enzymatic studies in renal cell carcinoma cell lines and in primary renal cancers have shown altered GAP expression and activity in these neoplasms [8, 9, 17]. It has also been reported that GAP expression is correlated with resistance to the antiproliferative effect of interferon-α in RCCs [18]. These data suggest that the study of GAP activity and expression may have diagnostic and prognostic applications for clinical practice. To clarify this question we quantified GAP activity and analysed its immunohistochemical expression in a wide range of renal neoplasms. We selected renal tumours with different histogenetic origins and aggressiveness (CCRCC, PRCC, ChRCC and RO), which cover 95% of renal neoplasms. Additionally, the GAP activity profile was compared in different CCRCC grades and stages and was correlated with patient survival.

Methods

The authors declare that all experiments carried out in this study comply with current Spanish and European Union legal regulations. Samples and data from patients included in this study were provided by the Basque Biobank for Research-OEHUN (http://www.biobancovasco.org). All patients were informed about the potential use for research of their surgically resected tissues, and accepted this eventuality by signing a specific document approved by the Ethical and Scientific Committees of the Basque Country Public Health System (Osakidetza) (CEIC 11/51).

Tissue specimens

We analysed renal tissue in a series from patients with CCRCC, PRCC, ChRCC and RO. Hospital Ethics Committee approval was obtained a priori. Fresh tissue samples were obtained from surgical specimens from renal tumour patients. Tumour and normal (surrounding uninvolved tissue) areas were obtained in all cases. For activity studies, tissue samples were stored at −80°C until the enzyme assays were performed. In addition, selected tissue samples were formalin-fixed and paraffin-embedded for histopathological studies. The 2004 WHO histological classification of adult renal cell tumours [2] and the 2002 TNM Edition for tumour staging [19] were used for pathological diagnosis. In addition, Furhman’s method [20] was applied for grading CCRCC subtype. Clinical follow up of CCRCC patients was closed by December 31, 2012, and a total of 14 patients died of disease at that time. Mean follow up was 65.2 months (range, 8–130 months).

Sample preparation

Although GAP has been classically reported as a cell-surface peptidase [16], several studies have also demonstrated GAP activity in soluble fractions of different tissues and cells [21–23]. We therefore analysed GAP activity in both membrane-bound and soluble fractions of kidney tissues.

Explanted tissue samples were homogenised in 10 mM Tris–HCl buffer at pH 7.4, for 30 seconds at 800 rpm using a Heidolph PZR 50 Selecta homogeniser, and ultracentrifuged in a Centrikon T-2070 Kontron Instruments apparatus at 100,000 g for 35 min. The resulting supernatants were used to measure cytosolic (soluble) enzyme activities and protein concentrations. To avoid contamination with soluble enzymes, the resulting pellets were washed three times by suspension in 10 mM Tris–HCl buffer at pH 7.4. Pellets were then homogenised in 10 mM Tris–HCl buffer at pH 7.4, and centrifuged at low speed (1500 g) for 3 min to purify the samples. The supernatants thus obtained were used to determine membrane-bound enzyme activities and protein concentrations. All the aforementioned steps were carried out at 4°C.

Measurement of glutamyl-aminopeptidase activity

The enzyme activity of tumour and non-tumour tissue samples from 50 patients with CCRCC (40 men, 10 women; mean age: 63 years), 10 patients with ChRCC (5 men, 5 women; mean age: 64 years) and 8 patients with RO (6 men, 2 women; mean age: 67 years) was analysed by spectrofluorometric methods. GAP activity was measured by a modified version of Tobe et al.’s method [24], using Glu-β-naphthylamide (0.125 mM) as a substrate. The assay is based on the fluorescence of β-naphthylamine generated from the substrate by GAP. The components of the assay mixture (total volume 2 mL) included the following: 50 mM of Tris–HCl buffer (pH 7.4) and 0.15 mg/mL of bovine serum albumin. The reaction was initiated by adding 30 μL of sample to 1 mL of the assay mixture. This was incubated at 37°C for 30 min and the reaction was discontinued by the addition of 1 mL of 0.1 M sodium acetate buffer (pH 4.2). The excitation and emission wavelengths were 345 and 412 nm, respectively. Blanks were used to determine background fluorescence. Relative fluorescence was converted into picomoles of product using a standard curve constructed with increasing concentrations of β-naphthylamine.

Protein concentration was measured in triplicate by the Bradford method [25], using BSA (1 mg/mL) as the calibrator. Results were recorded as units of peptidase (UP) per milligram of protein. One unit is equivalent to the release of one mole of beta-naphthylamine per minute. Fluorogenic assays were linear with respect to hydrolysis time and protein content.

Immunohistochemistry

Formalin-fixed and paraffin-embedded tumour tissue from 12 CCRCC (9 men and 3 women; mean age: 62 years); 6 PRCC (5 men and 1 woman; mean age: 64 years), 4 ChRCC (2 men, 2 women; mean age: 67 years) and 4 RO (all men, mean age: 63 years) were immunostained with a rabbit polyclonal antibody specific for glutamyl-aminopeptidase (Anti BP-1, Abcam plc, Cambridge, UK, working diluton 1:250). The immunostaining process was performed following routine methods in an automatic immunostainer (Dako Autostainer Plus). In short, endogenous peroxidase activity was blocked by incubating the slides in 3% hydrogen peroxide in absolute methanol for 10 minutes. Antigen retrieval was carried out in citrate buffer (10 mM, pH = 6) for 15 minutes at 100°C in a microwave oven. The primary antibody was applied for 1 hour at room temperature. A subsequent reaction was performed with secondary antibodies and biotin-free HRP enzyme labelled polymer of the EnVision-Flex detection system (Dako, Carpinteria, CA). Nonspecific IgG was used as a negative control. A positive reaction was visualized with diaminobenzydine solution followed by counterstaining with haematoxylin. Two independent observers analysed the immunohistochemical slides separately assigning staining intensity according to a semiquantitative scale [(negative (−), mild (+), moderate (++), and intense (+++)]. Minor disagreements were reconciled under a multihead microscope.

Quantitation of GAP (ENPEP) mRNA expression

Quantitative RT-PCR for detecting ENPEP mRNA was performed to assess the transcription levels of this enzyme. The total RNA of tumour tissue samples from 30 CCRCC patients (18 male, 12 female; mean age: 62 years) was isolated following the standard protocol previously described [26].

First-strand cDNA was synthesized from 25 μg of total RNA from each human sample using Moloney murine leukemia virus reverse transcriptase and random hexamers according to the manufacturer’s instructions (first-strand cDNA Synthesis Kit, Amersham Biosciences, Essex, UK). The resulting cDNA samples were amplified by PCR with specific oligonucleotide primer pairs designed with the analysis software Primer 3 [27]. Based on previous experiments on human renal cell carcinoma [28] and other human tissues [29, 30], TATA box binding protein (TBP), peptidylprolyl isomerase A (PPIA), β-actin (ACTB) and succinate dehydrogenase complex subunit A (SDHA) were chosen as endogenous reference genes. The sequences of the primers used to amplify ENPEP and the four housekeeping genes are shown in Table 1. All primers were synthesized and purified by Sigma-Genosys (Cambridge, UK).
Table 1

Sequences for forward and reverse primers of the indicated target genes and the size expected for each PCR-amplified product

Enzyme

Gene symbol

Forward primer

Reverse primer

Amplicon size (bp)

APA

ENPEP

5′-GCTCTCCTTGAACCACAAGACA-3′

5′-TTCTCTTCCCTTTTGAGATACTTGG-3′

133

Housekeeping Gene name

    

β-actin

ACTB

5′-TCCCTGGAGAAGAGCTACGA-3′

5′-ATCTGCTGGAAGGTGGACAG-3′

362

Succinate dehydrogenase complex, subunit A

SDHA

5′-TCTGCCCACACCAGCACT-3′

5′-CCTCTCCACGACATCCTTCC-3′

142

TATA box binding protein

TBP

5′-GGATAAGAGAGCCACGAACCAC-3′

5′-TTAGCTGGAAAACCCAACTTCTG-3′

139

Peptidylpropyl isomerase A

PPIA

5′-GGTCCCAAAGACAGCAGAAAA-3′

5′-TCACCACCCTGACACATAAACC-3′

114

Primers for the assayed housekeeping genes are also shown.

Expression of the target and housekeeping genes was quantified in all cDNAs by real-time PCR using the iCycler iQ real-time detection apparatus (BioRad Laboratories, Hercules, CA, USA). Dilutions of the cDNA template were prepared with each tissue and amplified in triplicate using SensiMix Plus SYBR + FLUORESCEIN (Quantace Ltd., London, UK). Three negative controls (with no template, no reverse transcriptase and no RNA in the reverse transcriptase reaction) were also included in each plate to detect any possible contamination. After a hot start (10 min at 94°C), the parameters used for PCR amplification were: 10 s at 94°C, 20 s at 60°C and 30 s at 72°C, for 50 cycles.

Real-time PCR data were expressed as the fold change of the target gene expression relative to the geometric mean (g.m.) mRNA expression of the housekeeping genes in each sample, as described by Vandesompele et al. [31]. The fold change in gene expression was calculated by the formula: 2 T – ∆ ∆ C , where CT is the threshold cycle, as calculated by the iCycler software, ∆CT = (CTtarget gene–CTg.m.reference genes) and ∆∆CT = (∆CT test sample–∆CT control sample).

CCRCCs with different Fuhrman’s gade and stage (low and high) were always measured in the same analytical run to exclude inter-run variations..

Statistical analysis

SPSS® 19.0 software (IBM, Madrid, Spain) was used to perform statistical data analysis. A Kolmogorov-Smirnov test was applied to data obtained from tissue to determine whether the numbers followed or not a normal distribution. Based on this information (p < 0.05), data from GAP activity and mRNA levels were analysed with non parametric tests. Mann–Whitney test was used to detect differences between non-tumour and tumour tissues, and between CCRCCs with different Fuhrman’s grade [G1/2 (low) vs. G3/4 (high)] and stage [pT1/2 (organ confined) vs. pT3/4 (non-organ confined)]. Spearman’s correlation (ρ) test was performed to evaluate the correlation between GAP activity, patient age and gender, and tumour size of CCRCC. A value of P < 0.05 was considered statistically significant. Finally, overall survival (five years) was assessed by the Kaplan-Meier method and compared by log-rank test according to GAP activity levels.

Results

Glutamyl-aminopeptidase activity profile in renal tumours

Data obtained in the GAP activity assays across the different tumour types and in stratified CCRCC are reported in Figures 1 and 2.
Figure 1
Figure 1

Glutamyl-aminopeptidase activity profile in the membrane-bound (A) and soluble fraction (B) of CCRCC, ChRCC and RO. The columns compare tumour with non-tumour surrounding tissue (normal). Values represent mean ± SE of enzyme activities recorded as units of enzyme per milligram of protein (U/mg prot). Mann–Whitney test: (***) P < 0.001; (**) P < 0.01.

Figure 2
Figure 2

Representation of the correlation between membrane-bound gultamyl-aminopeptidase and tumour size in CCRCC. Values represent mean ± SE of enzyme activities recorded as units of enzyme per milligram of protein (U/mg prot). Spearman’s rank test: coefficient (r) = 0.366; P < 0.05.

Figure 1 shows GAP activity measured in tumour and non-tumour tissue (normal) of CCRCC, ChRCC and RO patients. Activity was recorded as pmol of product/min/mg protein (UP/mg protein) and is presented as mean ± SE. As shown in Figure 1A, when compared with non-tumour tissues, membrane-bound GAP activity decreased significantly in CCRCC (two-fold) (Mann–Whitney test, P < 0.001), and drastically in ChRCC (16-fold, P < 0.01) and RO (34-fold, P < 0.001). The soluble GAP activity in renal tumours (Figure 1B) also decreased significantly in all tumour types analysed when compared with normal tissue samples (P < 0.001).

Table 2 represents GAP activity in the different grades and stages of CCRCC group (Low grade: G1-G2, n = 24 vs. High grade: G3-G4, n = 26; Low stage: T1-T2, n = 34 vs. High stage: T3-T4, n = 16). Activity was recorded as pmol of product/min/mg protein (UP/mg protein) and is presented as mean ± SE.
Table 2

Membrane-bound and soluble GAP activity in CCRCC stratified by grade and stage

a

  
 

Low Grade (G1-G2)

High Grade (G3-G4)

P

mGAP

6099 ± 1689

6313 ± 1105

ns

sGAP

1193 ± 231

1895 ± 213

<0.05

b

  
 

Low Stage (T1-T2)

High Stage (T3-T4)

P

mGAP

6322 ± 1169

5699 ± 893

ns

sGAP

1563 ± 210

1693 ± 310

ns

Values are means ± SE of Units per mg of protein (U/mg Prot). Abbreviations: ns not significant. Statistically significant results are in bold.

After stratification by grade, soluble GAP showed higher activity in CCRCCs with a high Furhman’s grade in comparison to those clear cell carcinomas in a lower grade (Mann–Whitney test, P < 0.05). Analyses of grading for membrane-bound GAP and staging for both soluble and membrane-bound GAP activities were not statistically significant.

The correlation study demonstrated that membrane-bound GAP activity is positively correlated with tumour size in CCRCC samples (Spearman’s rank test, P < 0.05) (Figure 2).

Finally, Kaplan-Meier curves revealed that GAP activity was not correlated with patients’ five-year survival (log-rank test P > 0.05) (Figure 3A and B).
Figure 3
Figure 3

Patient survival curves according to the membrane-bound (A) and soluble (B) glutamyl-aminopeptidase activity levels (Kaplan-Meier method). GAP activity did not significantly impact in survival of patients with CCRCC (log-rank p > 0.05).

Glutamyl-aminopeptidase immunohistochemical expression

Figure 4 shows the immunohistochemical results in non-tumour and tumour tissue. The pattern of staining of each tumour subtype coincided fully in every case. GAP immunostaining was strongly positive in proximal convoluted tubules in non-tumour renal tissue and slightly positive in distal tubules. CCRCC showed diffuse and mild membrane immunostaining. PRCC also showed positive immunoreaction located in cytoplasmic membranes, but the pattern of staining was focal. Both ChRCC and RO shared the same immunohistochemical expression with mild and diffuse cytoplasmic staining.
Figure 4
Figure 4

Immunohistochemistry of GAP in renal tumours. Haematoxylin and Eosin (HE) staining of (A) normal renal tissue, (B) clear cell renal cell carcinoma, (C) chromophobe renal cell carcinoma, (D) renal oncocytoma and (E) papillary renal cell carcinoma, and their respective GAP immunostainings in the right column. (F) Immunostaining appears intense in proximal convoluted tubules and is mild to moderate in collecting ducts, (G) mild delineating cytoplasmic membranes in clear cell renal cell carcinoma, mild membranous and cytoplasmic in (H) chromophobe renal cell carcinoma and (I) renal oncocytoma, and (J) mild in papillary renal cell carcinoma (GAP immunostaining, haematoxylin counterstaining, original tissue magnification x200).

GAP (ENPEP) mRNA levels and CCRCC aggressiveness

Table 3 shows the ENPEP mRNA levels in CCRCCs with different Fuhrman’s grade [G1/2 (low) vs. G3/4 (high)] and stage [pT1/2 (organ confined) vs. pT3/4 (non-organ confined)]. ENPEP mRNA levels were higher in low grade CCRCCs than in high grade tumours (Table 3a), however, this result was not statistically significant (Mann–Whitney test p = 0.322). Organ confined CCRCCs showed similar ENPEP mRNA levels to non-organ confined tumours (Table 3b) (p = 0.856).
Table 3

GAP ( ENPEP ) mRNA levels in CCRCC

a

  
 

Low Grade (G1-G2)

High Grade (G3-G4)

P

ENPEP

1065 ± 347

479 ± 138

ns

b

  
 

Low Stage (T1-T2)

High Stage (T3-T4)

P

ENPEP

707 ± 185

818 ± 383

ns

qRT-PCR data for each analysed sample are recorded as relative units. Values are means ± SE. ns: Not significant (Mann–Whitney test).

Discussion

Many studies have revealed that peptidases are involved in several physiological functions and play a key role in growth control, differentiation, and signal transduction of several cell systems [31]. Altered expression and catalytic function patterns of these enzymes may contribute to neoplastic transformation and tumour progression [31, 32]. Regarding kidney tumours, the altered expression and activity of several peptidases have been evaluated in previous studies [8–10, 33–36]. Therefore, the study of peptidase expression and activity appears to be a promising field in the quest for new renal tumour markers and targets. For instance, some studies have led to the design of clinical diagnostic tools, such us neprylisin (NEP/CD10), which is a useful immunohistochemical marker in the diagnosis of proximal nephron-derived carcinomas [33].

In this study we analysed the activity and the expression of a renal cell marker, GAP (or gp160), in a subset of renal tumours and in their non-tumour adjacent tissues. GAP activity of both membrane-bound and soluble fractions was markedly decreased in all tumour subtypes when compared with normal tissues. Interestingly, the decrease in membrane-bound GAP activity revealed a gradient along the different phenotypes of renal neoplasms. Thus, while the activity was twice lower in CCRCC than in normal tissue, the decrease in ChRCC and RO was 16-fold and 34-fold respectively. In addition, we recently demonstrated that this enzyme’s activity decreased 8-fold in PRCC [35]. This finding is similar to some others measuring alternative relevant peptidases, and supports the hypothesis that the loss of several physiologically significant peptidases may be a critical step in the malignant transformation of renal tissues [8, 10–12, 17, 35].

In terms of immunohistochemistry, GAP was strongly expressed in the membrane of proximal tubule cells, whereas tumours from this origin showed only a mild membrane positivity (CCRCC) or even very weak staining (PRCC). This result is in accordance with previous works [8, 9] and suggests that the decreases of membrane-bound GAP activity in these neoplasms could be due to loss of protein expression. In addittion, we observed a mild diffuse GAP immunostaining in ChRCC and RO. This pattern is expected for both tumours as they originate from the distal nephron [2]–a specific topography with mild to negative GAP expression, as also shown in other reports [9, 15].

Our previous studies demonstrated that several aminopeptidase activities are significantly increased in high stage and high grade CCRCCs [11, 12, 29, 31] and correlated with patient 5-year survival [37], suggesting that these proteases may be a predictor of poor outcome in this disease. In the present work, GAP activity was not found to be correlated with CCRCC patient survival. However, soluble GAP activity significantly increased in high grade (G3-G4) CCRCCs and membrane-bound GAP activity was positively correlated with tumour size, indicating that this peptidase is probably involved in CCRCC growth and aggressiveness.

GAP mRNA levels in renal tumours are similar or even higher than in normal renal tissue [10, 11]. In the present work, we observed differences among CCRCCs with low and high Furhman grades, although this result did not reach statistical significance. Similar discrepancies between mRNA expression and enzyme activity or expression have been recently reported in renal carcinomas and in other non-neoplastic kidney diseases when other peptidases were measured [34, 38, 39]. This finding indicates that these protein modifications could occur at a postranscriptional level and illustrates the importance of assesing protein changes through various means, and not relying solely on mRNA levels [38].

The exact role that GAP plays in renal neoplasms still remains to be clarified. This enzyme has been reported to play a functional role as a regulator of angiotensin II-mediated tumour growth and invasiveness via conversion of locally produced angiotensin II (ang II) in several solid tumours [40]. The downregulation of GAP and other angiotensin-converting peptidases observed in this study and in others [8–11, 34] suggests an imbalance in the metabolism of intrarenal angiotensins. However, it is difficult to ascertain which one of these bioactive peptides is more affected in renal neoplasms. We recently showed an important neoexpression of endothelial angiotensin-converting enzyme (ACE) in renal cancer [34], what suggests a higher synthesis of tumour vessel ang II, a vasoactive hormone whose local long-term actions are related to angiogenesis in proliferative disorders [41, 42]. Although GAP has been proposed as a functional vascular target in pathologic angiogenic processes [43], this study could not find any GAP neoexpression in renal neoplasm blood vessels. Since this enzyme converts angiotensin II to III, this result could strengthen the hypothesis of an accumulation of ang II in renal tumour vessels, which could stimulate angiogenesis.

GAP has been commonly described as a membrane-bound peptidase, but the activity of soluble isoforms has also been reported in normal and tumour tissues [21–23]. Our data in renal neoplasms have shown distinct patterns of activity in the two subcellular fractions analysed. However, the soluble GAP activity profile was similar to that previously reported with the cytosolic aspartyl-aminopeptidase (EC. 3.4.11.21) in these tumours [10, 11]. Therefore, further studies are required to clarify the presence of a soluble isoform of GAP in renal tissues.

In this context, the role of soluble peptidases in the regulation of proliferative diseases is less clear than that of membrane-bound peptidases. Nevertheless, recent findings suggest that a number of peptides and hormones, commonly called “intracrine”, act in the intracellular space after either internalisation or retention in their cells of synthesis [44, 45]. Furthermore, intracellular angiotensin II has been reported to also induce cell proliferation in several tissues [44–47]. Therefore, the idea of an intracrine angiotensin dysregulation in kidney tumours should not be ruled out.

Conclusions

This study demonstrates marked decreases in activity and mild to weak expression of GAP in the four most common histological subtypes of renal neoplasms (CCRCC, PRCC, ChRCC and RO), and a positive correlation between the soluble GAP and CCRCC aggressiveness. These results favour the possibility of a metabolic imbalance among intrarenal angiotensins and a role of GAP in renal neoplastic diseases. A better understanding of the pathophysiological role of GAP in these proliferative disorders will be helpful for designing effective diagnostic, prognostic and therapeutic tools for renal neoplasms.

Abbreviations

GAP: 

Glutamyl-aminopeptidase

RCCs: 

Renal cell carcinomas

CCRCC: 

Clear cell renal cell carcinoma

PRCC: 

Papillary renal cell carcinoma

ChRCC: 

Chromophobe renal cell carcinoma

RO: 

Renal oncocytoma

UP: 

Units of peptidase, pmol of product/min.

Declarations

Acknowledgements

We wish to thank Arantza Pérez (UPV/EHU) for her technical contribution to this study. The authors also thank Ana Abascal, Alicia Esteve and Mar Gonzalez, lab technicians at the Department of Pathology, Cruces University Hospital, for their excellent immunohistochemical work. This work was supported by grants from the Basque Government (IT8-11/13), the University of the Basque Country UPV/EHU (UFI 11/44, EHUA 12/15) and the Gangoiti Barrera Foundation. We want to particularly acknowledge the patients enrolled in this study for their participation and the Basque Biobank for Research-OEHUN for this collaboration.

Authors’ Affiliations

(1)
Department of Physiology, Faculty of Medicine and Dentistry, Universitiy of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
(2)
Department of Nursing I, Faculty of Nursing, Universitiy of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
(3)
Institute for Chemical Research, CSIC, Sevilla, Spain
(4)
Department of Anatomic Pathology, Cruces University Hospital, University of the Basque Country (UPV/EHU), Barakaldo, Bizkaia, Spain

References

  1. Siegel R, Naishadham D, Jemal A: Cancer statistics, 2013. CA Cancer J Clin. 2013, 63 (1): 11-30. 10.3322/caac.21166.View ArticlePubMedGoogle Scholar
  2. López-Beltrán A, Scarpelli M, Montironi R, Kirkali Z: 2004 WHO classification of the renal tumors of the adults. Eur Urol. 2006, 49 (5): 798-805. 10.1016/j.eururo.2005.11.035.View ArticlePubMedGoogle Scholar
  3. Schuetz NA, Yin-Goen Q, Amin MB, Moreno CS, Cohen C, Hornsby CD, Yang WL, Petros JA, Issa MM, Pattaras JG, Ogan K, Marshall FF, Young AN: Molecular classification of renal tumors by gene expression profiling. J Mol Diagn. 2005, 7 (2): 206-208. 10.1016/S1525-1578(10)60547-8.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Lam JS, Shvarts O, Leppert JT, Figlin RA, Belldegrun AS: Renal cell carcinoma 2005: new frontiers in staging, prognostication and targeted molecular therapy. J Urol. 2005, 173 (6): 1853-1862. 10.1097/01.ju.0000165693.68449.c3.View ArticlePubMedGoogle Scholar
  5. Jin JS, Hsieh DS, Lin YF, Wang JY, Sheu LF, Lee WH: Increasing expression of extracellular matrix metalloprotease inducer in renal cell carcinoma: tissue microarray analysis of immunostaining score with clinicopathological parameters. Int J Urol. 2006, 13 (5): 573-580. 10.1111/j.1442-2042.2006.01353.x.View ArticlePubMedGoogle Scholar
  6. Patraki E, Cardillo MR: Quantitative immunohistochemical analysis of matrilysin 1 (MMP-7) in various renal cell carcinoma subtypes. Int J Immunopathol Pharmacol. 2007, 20 (4): 697-705.PubMedGoogle Scholar
  7. Catania JM, Chen G, Parrish AR: Role of matrix metalloproteases in renal pathophysiologies. Am J Physiol Renal Physiol. 2007, 292 (3): 905-911.View ArticleGoogle Scholar
  8. Göhring B, Holzhausen HJ, Meye A, Heynemann H, Rebmann U, Langner J, Riemann D: Endopeptidase 24.11/CD10 is down-regulated in renal cell cancer. Int J Mol Med. 1998, 2 (4): 409-414.PubMedGoogle Scholar
  9. Nanus DM, Bogenrieder T, Papandreou CN, Finstad CL, Lee A, Vlamis V: Aminopeptidase A expression and enzymatic activity in primary human renal cancers. Int J Oncolology. 1998, 13 (2): 261-267.Google Scholar
  10. Varona A, Blanco L, López JI, Gil J, Agirregoitia E, Irazusta J, Larrinaga G: Altered levels of acid, basic, and neutral peptidase activity and expression in human clear cell renal cell carcinoma. Am J Physiol Renal Physiol. 2007, 292 (2): 780-788.View ArticleGoogle Scholar
  11. Blanco L, Larrinaga G, Pérez I, López JI, Gil J, Agirregoitia E, Varona A: Acid, basic and neutral peptidases present different profiles in chromophobe renal cell carcinoma and in oncocytoma. Am J Physiol Renal Physiol. 2008, 294 (4): 850-858. 10.1152/ajprenal.00469.2007.View ArticleGoogle Scholar
  12. Varona A, Blanco L, Perez I, Gil J, Irazusta I, Lopez JI, Candenas ML, Pinto FM, Larrinaga G: Expression and activity profiles of DPP IV/CD26 and NEP/CD10 glycoproteins in the human renal cancer are tumor-type dependent. BMC Cancer. 2010, 10: 193-10.1186/1471-2407-10-193.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Wolf G, Mentzel S, Assmann KJ: Aminopeptidase A: a key enzyme in the intrarenal degradation of angiotensin II. Experimental Nephrolology. 1997, 5 (5): 364-369.Google Scholar
  14. Dijkman HB, Assmann KJ, Steenbergen EJ, Weltzels JF: Expression and effect of inhibition of aminopeptidase-A during nephrogenesis. J Histochemestry and Cytochemestry. 2006, 54 (2): 253-262. 10.1369/jhc.5A6815.2005.View ArticleGoogle Scholar
  15. Bander NH, Cordon-Cardo C, Finstad CL, Whitmore WF, Vaughan ED, Oettgen HF, Melamed M, Old LJ: Immunohistologic dissection of the human kidney using monoclonal antibodies. J Urol. 1985, 133 (3): 502-505.PubMedGoogle Scholar
  16. Nanus DM, Engelstein D, Gastl GA, Gluck L, Vidal MJ, Morrison M, Finstad C, Bander NH, Albino AP: Molecular cloning of the human kidney differentiation antigen gp160: Human aminopeptidase A. Proc Natl Acad Sci U S A. 1993, 90 (15): 7069-7073. 10.1073/pnas.90.15.7069.View ArticlePubMedPubMed CentralGoogle Scholar
  17. Kehlen A, Göhring B, Langer J, Riemann D: Regulation of the expression of aminopeptidase A, aminopeptidase N/CD13 and dipeptidylpeptidase IV/CD26 in renal carcinoma cells and renal tubular epithelial cells by cytokines ans cAMP-increasing mediators. Clin Exp Immunol. 1998, 111 (2): 435-441. 10.1046/j.1365-2249.1998.00513.x.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Nanus DM, Pfeffer LM, Bander NH, Bahri S, Albino AP: Antiproliferative and antitumor effects of alpha interferon in renal cell carcinomas: correlation with the expression of a kidney associated differentiation glycoprotein. Cancer Res. 1990, 50 (14): 4190-4194.PubMedGoogle Scholar
  19. Sobin LH, Wittekind C: TNM Classification of Malignant Tumors. 2002, New York: Wiley-Liss, 6Google Scholar
  20. Furhman SA, Lasky LC, Limas C: Prognostic significance of morphologic parameters in renal cell carcinoma. Am J Surg Pathol. 1982, 6 (7): 655-663. 10.1097/00000478-198210000-00007.View ArticleGoogle Scholar
  21. Martínez JM, Prieto I, Ramírez MJ, Cueva C, Alba F, Ramírez M: Aminopeptidase activities in breast cancer tissue. Clin Chem. 1999, 45 (10): 1797-1802.PubMedGoogle Scholar
  22. Ramírez-Expósito MJ, Martínez JM, Prieto I, Alba F, Ramírez M: Comparative distribution of glutamyl and aspartyl aminopeptidase activities in mouse organs. Horm Metab Res. 2000, 32 (5): 161-163. 10.1055/s-2007-978614.View ArticlePubMedGoogle Scholar
  23. Ramírez M, Prieto M, Alba F, Vives F, Banegas I, de Gasparo M: Role of central and peripheral aminopeptidase activities in the control of blood pressure: a working hypothesis. Heart Fail Rev. 2008, 13 (3): 339-353. 10.1007/s10741-007-9066-6.View ArticlePubMedGoogle Scholar
  24. Tobe H, Kojima F, Aoyagi T, Umezawa H: Purification using amastatin and properties of aminopeptidase A from pig kidney. Biochimica Biophysica Acta. 1980, 613 (2): 459-468. 10.1016/0005-2744(80)90100-X.View ArticleGoogle Scholar
  25. Bradford MM: A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976, 72: 248-254. 10.1016/0003-2697(76)90527-3.View ArticlePubMedGoogle Scholar
  26. Patak E, Candenas ML, Pennefather JN, Ziccone S, Lilley A, Martín JD, Flores C, Flores C, Mantecón AG, Story ME, Pinto FM: Tachykinins and tachykinin receptors in human uterus. Br J Pharmacol. 2003, 139 (3): 523-532. 10.1038/sj.bjp.0705279.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Rozen S, Skaletsky H: Primers on the WWW for general users and for biologist programmers. Methods Mol Biol. 2000, 132: 365-368.PubMedGoogle Scholar
  28. Jung M, Ramankulov A, Roigas J, Johannsen M, Ringsdorf M, Kristiansen G, Jung K: In search of suitable reference genes for gene expression studies of human renal cell carcinoma by real-time PCR. BMC Mol Biol. 2007, 8: 47-10.1186/1471-2199-8-47.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Radonic A, Thulke S, Mackay IM, Landt O, Siegert W, Nitsche A: Guideline to reference gene selection for quantitative real-time PCR. Biochem Biophys Res Commun. 2004, 313 (4): 856-862. 10.1016/j.bbrc.2003.11.177.View ArticlePubMedGoogle Scholar
  30. Pinto FM, Almeida TA, Hernandez M, Devillier P, Advenier C, Candenas ML: mRNA expression of tachykinins and tachykinin receptors in different human tissues. Eur J Pharmacol. 2004, 494 (2–3): 233-239.View ArticlePubMedGoogle Scholar
  31. Antczak C, De Meester I, Bauvois B: Ectopeptidases in pathophysiology. Bioessays. 2001, 23 (3): 251-260. 10.1002/1521-1878(200103)23:3<251::AID-BIES1035>3.0.CO;2-O.View ArticlePubMedGoogle Scholar
  32. Carl-McGrath S, Lendeckel U, Ebert M, Röcken C: Ectopeptidases in tumour biology: a review. Histol Histopathol. 2006, 21 (12): 1339-1353.PubMedGoogle Scholar
  33. Zhou M, Roma A, Magi-Galluzzi C: The usefulness of immunohistochemical markers in the differential diagnosis of renal neoplasms. Clin Lab Med. 2005, 25 (2): 247-257. 10.1016/j.cll.2005.01.004.View ArticlePubMedGoogle Scholar
  34. Larrinaga G, Perez I, Sanz B, Blanco L, López JI, Candenas ML, Pinto FM, Gil J, Irazusta J, Varona A: Angiotensin-converting enzymes (ACE and ACE2) are downregulated in renal tumors. Regul Pept. 2010, 165 (2–3): 218-223.View ArticlePubMedGoogle Scholar
  35. Blanco L, Perez I, Sanz B, Gil J, López JI, Ugalde A, Varona A, Larrinaga G: Changes in cell-surface peptidase activity in papillary renal cell carcinoma. Anticancer Res. 2010, 30 (4): 1137-1141.PubMedGoogle Scholar
  36. Larrinaga G, López JI, Casis L, Blanco L, Gil J, Agirregoitia E, Varona A: Cystinyl aminopeptidase activity is decreased in renal cell carcinoma. Regul Pept. 2007, 144 (1–3): 56-61.View ArticlePubMedGoogle Scholar
  37. Larrinaga G, Blanco L, Sanz B, Perez I, Gil J, Unda M, Andrés L, Casis L, López JI: The impact of peptidase activity on clear cell renal cell carcinoma survival. Am J Physiol Renal Physiol. 2012, 303 (12): 1584-1591. 10.1152/ajprenal.00477.2012.View ArticleGoogle Scholar
  38. Kasinath BS, Mariappan MM, Sataranatarajan K, Lee MJ, Feliers D: mRNA traslation: unexplored territory in renal science. J Am Soc Nephrol. 2006, 17 (12): 3281-3292. 10.1681/ASN.2006050488.View ArticlePubMedGoogle Scholar
  39. Wysocki J, Ye M, Soler MJ, Gurley SB, Xiao HD, Bernstein KE, Coffman TM, Chen S, Battle D: ACE and ACE2 activity in diabetic mice. Diabetes. 2006, 55 (77): 2132-2139.View ArticlePubMedGoogle Scholar
  40. Ino K, Shibata K, Kajiyama H, Kikkawa F, Mizutani S: Regulatory role of membrane-bound peptidases in the progression of gynecologic malignancies. Biol Chem. 2004, 385 (8): 683-690.View ArticlePubMedGoogle Scholar
  41. Deshayes F, Nahmias C: Angiotensin receptors: a new role in cancer?. Trends Endocrinol Metab. 2005, 16 (7): 293-299. 10.1016/j.tem.2005.07.009.View ArticlePubMedGoogle Scholar
  42. George AJ, Thomas WG, Hannan RD: The renin-angiotensin system and cancer: old dog, new trick. Nat Rev Cancer. 2010, 10 (11): 745-759. 10.1038/nrc2945.View ArticlePubMedGoogle Scholar
  43. Marchiò S, Lahdenranta J, Schlingemann RO, Valdembri D, Wesseling P, Arap MA, Hajitou A, Ozawa MG, Trepel M, Giordano RJ, Nanus DM, Dijkman HB, Oosterwijk E, Sidman RL, Cooper MD, Bussolino F, Pasqualini R, Arap W: Aminopeptidase A is a functional target in angiogenic blood vessels. Cancer Cell. 2004, 5 (2): 151-162. 10.1016/S1535-6108(04)00025-X.View ArticlePubMedGoogle Scholar
  44. Re RN, Cook JL: The intracrine hypothesis: an update. Regul Pept. 2006, 133 (1–3): 1-9.View ArticlePubMedGoogle Scholar
  45. Re RN, Cook JL: An intracrine view of angiogenesis. Bioessays. 2006, 28 (9): 943-953. 10.1002/bies.20459.View ArticlePubMedGoogle Scholar
  46. Baker KM, Chernin MI, Schreiber T, Sanghi S, Heiderzaidi S, Booz GW, Dostal D, Kumar R: Evidence of a novel intracrine mechanism in angiotensin II-induced cardiac hypertrophy. Regul Pept. 2004, 120 (1–3): 5-13.View ArticlePubMedGoogle Scholar
  47. Zhuo JL, Li XC: New insights and perspectives on intrarenal renin-angiotensin system: fous on intracrine/intracellular angiotensin II. Peptides. 2011, 32 (7): 1551-1565. 10.1016/j.peptides.2011.05.012.View ArticlePubMedPubMed CentralGoogle Scholar

    48. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/14/386/prepub

Copyright

© Blanco et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Advertisement

BMC Cancer

ISSN: 1471-2407

Contact us