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British Journal of Cancer logoLink to British Journal of Cancer
. 2013 Sep 10;109(7):1848–1858. doi: 10.1038/bjc.2013.509

Presence of the Coxsackievirus and Adenovirus Receptor (CAR) in human neoplasms: a multitumour array analysis

M Reeh 1, M Bockhorn 1, D Görgens 2, M Vieth 2, T Hoffmann 3, R Simon 4, J R Izbicki 1, G Sauter 4, U Schumacher 5, M Anders 3,*
PMCID: PMC3790165  PMID: 24022195

Abstract

Background:

The Coxsackie- and Adenovirus Receptor (CAR) has been assigned two crucial attributes in carcinomas: (a) involvement in the regulation of growth and dissemination and (b) binding for potentially therapeutic adenoviruses. However, data on CAR expression in cancer types are conflicting and several entities have not been analysed to date.

Methods:

The expression of CAR was assessed by immunohistochemical staining of tissue microarrays (TMA) containing 3714 specimens derived from 100 malignancies and from 273 normal control tissues.

Results:

The expression of CAR was detected in all normal organs, except in the brain. Expression levels, however, displayed a broad range from being barely detectable (for example, in the thymus) to high abundance expression (for example, in the liver and gastric mucosa). In malignancies, a high degree of variability was notable also, ranging from significantly elevated CAR expression (for example, in early stages of malignant transformation and several tumours of the female reproductive system) to decreased CAR expression (for example, in colon and prostate cancer types).

Conclusion:

Our results provide a comprehensive insight into CAR expression in neoplasms and indicate that CAR may offer a valuable target for adenovirus-based therapy in a subset of carcinomas. Furthermore, these data suggest that CAR may contribute to carcinogenesis in an entity-dependent manner.

Keywords: Coxsackievirus and Adenovirus receptor, multitumour tissue microarray, differential expression


The Coxsackie- and Adenovirus Receptor (CAR), a transmembrane component of the tight junction complex, facilitates viral attachment onto the cellular surface, a crucial requirement for subsequent virus uptake (Bergelson et al, 1997; Cohen et al, 2001). Presence of CAR is therefore considered a critical determinant for the efficacy of therapeutic strategies employing adenoviruses. Hereby, attenuated adenoviruses, either replication-incompetent created to deliver therapeutic genes or viruses replicating restrictedly in certain cell types, may be used for the cancer treatment (Kasuya et al, 2007). In various human cancer types, however, particularly those displaying loss of differentiation, and advanced disease stages, reduced CAR presence has been documented (Heideman et al, 2001; Rauen et al, 2002; Sachs et al, 2002; Matsumoto et al, 2005; Korn et al, 2006; Anders et al, 2009; Wunder et al, 2012a, 2012b). In line with these observations, significant correlations between impaired CAR expression and a poor clinical outcome for gastric and bladder cancer patients were found (Matsumoto et al, 2005; Anders et al, 2009). Regulation of declined CAR expression in cancers has been attributed to activation of the Raf/MEK/ERK pathway and the TGF-β signalling, as well as hypoxia, epithelial–mesenchymal transdifferentiation and histone deacetylation of the CAR gene promoter (Brüning and Runnebaum, 2003; Pong et al, 2003; Anders et al, 2003a; Lacher et al, 2006; Küster et al, 2010a, 2010b; Lacher et al, 2011).

In contrast, CAR upregulation was found in cancers of the endometrium, ovary, cervix, breast and lung, as well as neuroblastomas and medulloblastomas (Martino et al, 2000; Martin et al, 2005; Persson et al, 2006; Wang et al, 2006; Reimer et al, 2007; Giaginis et al, 2008; Dietel et al, 2011). In breast and lung cancer types, high CAR expression has been linked to poor overall survival and shorter disease-free survival, respectively (Martin et al, 2005; Wunder et al, 2012a). Contrary to the loss of CAR in neoplasms, little is known about the molecular basis of CAR upregulation: in oesophageal squamous cell carcinoma cell lines, CAR expression was induced through the MAPK/ERK1/2 signalling, a pathway that also has been linked to CAR downregulation as described above (Ma et al, 2012). Furthermore, disruption of cellular organisation has been found to upregulate CAR in early breast cancer (Anders et al, 2003b).

Currently, it remains unclear whether these diverse results reflect entity-depending differences in CAR expression or might solely be caused by methodical differences. Nevertheless, given that differential CAR expression may indicate a progression step during malignant transformation, these previous findings might reflect the possible complex function of CAR. On one hand, loss of CAR has been suggested to decrease intercellular adhesion, promote proliferation, migration, invasion and metastatic potential of cancers, leading to the hypothesis of a tumour-suppressive role of CAR (Okegawa et al, 2000, 2001; Brüning and Runnebaum, 2004; Huang et al, 2005; Wang et al, 2005; Raschperger et al, 2006; Anders et al, 2009; Stecker et al, 2011). On the other hand, CAR has been implied to promote carcinogensesis, as increased CAR levels were found in early-stage breast cancer and breast cancer precursor cell lines (Anders et al, 2003b; Brüning et al, 2005).

Intrigued by these findings, we performed an immunohistochemical determination of CAR expression in a broad range of malignancies, corresponding precursor lesions as well as healthy controls employing tissue microarrays. Usage of this uniform methodical platform was chosen to generate data allowing for direct comparison between different organs, and hereby to identify neoplasms in which CAR expression might be of importance during malignant progression and the ones where it is not. By doing so, potential targets for adenovirus-mediated therapies based on CAR expression can be identified as well.

Materials and methods

Tissue microarrays and immunohistological investigations

The expression of CAR protein was assessed with immunohistochemical staining of tissue microarrays (TMA) containing a total of 3714 formalin-fixed, paraffin-embedded archival samples (diameter 0.6 mm) from a total of 100 different human tumours and preneoplastic lesions, as well as 273 corresponding controls derived from normal tissues (Simon and Sauter, 2002). All these samples (provided by RS and GS) were taken from tissues acquired for routine diagnostic purposes at the Department of Pathology, University Medical Center Hamburg-Eppendorf, in accordance with the principles of the ‘Ethik-Kommission der Ärztekammer, Hamburg'. The collection and TMA-based screenings of human tumour samples were in compliance with the ethical principles for medical research issued by the World Medical Association's Declaration of Helsinki.

For the subsequent immunohistochemical study, TMA sections were deparaffinized and dehydrated, employing standard procedures using rotihistol, isopropanol and ethanol. Following common antigen-retrieval methods including trypsin and microwave treatments in 10 mM citrate buffer (pH 6.0), tissues were blocked in milk and incubated with a primary polyclonal antibody against CAR (1:50, H-300: sc-15405, Biotechnology Inc., Santa Cruz, CA, USA) for 16 h at 4 °C. Subsequently, sections were incubated in biotinylated goat anti-rabbit immunoglobulin (1:400; Vector Laboratories, Burlingame, CA, USA), followed by treatment with the streptavidin-biotinylated horseradish peroxidase complex (Vectastain Elite ABC kit, Vector Laboratories). Using diaminobenzidine tetrahydrochloride (Sigma-Aldrich, Munich, Germany), sections were developed in hydrogen peroxide/PBS and counterstained with haemalaun. Immunostainings of CAR were analysed by two pathologists (DG and MV) blinded to clinicopathological data and scored according to (a) percentage of CAR-immunopositive cells (‘0': 0%, ‘1': <10%, ‘2': 11–50%, ‘3': 51–80 %, ‘4': 81–100%) and (b) staining intensity (‘0': no specific signal, ‘1': weak, ‘2': medium, ‘3' strong). On the basis of these data, the immunoreactive score (IRS) was calculated by percentage of positive cells × staining intensity score. For further evaluation, an IRS from 0 to 3 was considered CAR-negative, whereas 4–12 was regarded as CAR-positive.

Statistical methods

Statistical calculations using (Fisher's exact probability test or χ2 test, respectively) were performed using the SPSS software (version 11.5; SPSS Inc, Chicago, IL, USA).

Results

Expression of CAR in carcinomas and corresponding normal tissues

Immunopositivity of CAR was found in normal samples of all entities, except of the brain. Expression levels, however, displayed a high variability ranging from abundant presence in the liver, stomach and gall bladder to barely detectable, such as in the thymus (Figure 1). Highest percentages of CAR-positive tissues (IRS >3) were seen in the liver, colon, gall bladder, oesophagus, pancreas, stomach and vulva. On the other hand, low counts of CAR-positive cases (maximum of 25%) were noted in the cervix, thyroid, lymph nodes, endometrium, anal skin and breast. No cases with an IRS >3 were observed in the larynx, ovary, urinary bladder, adrenal cortex, thymus and brain (Figure 2).

Figure 1.

Figure 1

CAR expression in normal samples: CAR protein expression was determined with immunohistochemical staining. On the basis of the immunoreactive score, entities were considered CAR-negative (IRS 0–3) or CAR-positive (IRS 4–12) (grey line).

Figure 2.

Figure 2

Percentage of CAR-positive cases in normal samples: Portion of CAR-positive cases was calculated on the basis of the IRS (see Figure 1) with 25% or less being considered low CAR-expressing entities.

In neoplasias, a great degree of diversity of CAR expression was notable as well, with ubiquitous CAR expression in several early stages of malignant transformation such as non-invasive urinary bladder cancer, Warthin Tumours, thyroid adenoma and basalioma. In advanced stages, high CAR expression levels were detected, for instance, in hepatocellular and endometroid carcinomas. In contrast, low CAR expression levels were found in prostate cancer, various subtypes of breast cancer, Merkel cell carcinoma and desmoid tumours (Table 1).

Table 1. CAR immunopositivity in neoplasms and controls.

Tissue type n Intensity (mean) Pos. cells (mean) IRS (mean) CAR positive n % P-value
Respiratory tract tumours
Larynx
Larynx. normal 5 1.2 1.2 1.4 0 0  
Larynx. carcinoma
55
1.96
2.2
4.8
35
63.6
0.006
Lung
Lung. normal 24 1.54 1.83 3.04 11 45.8  
Lung cancer. adenocarcinoma 68 2.13 2.6 5.68 56 82.4 0.001
Lung cancer. bronchioalveolary carcinoma 13 1.85 2.62 5.31 9 69.2 0.173
Lung cancer. large cell cancer 45 1.78 2.22 4.36 25 55.6 0.441
Lung cancer. NSCLC 10 1.3 1.9 3 4 40 0.755
Lung cancer. small cell cancer 13 1.54 1.77 3.23 6 46.2 0.985
Lung cancer. SQCC 57 2.19 2.84 6.26 48 84.2 < 0.0001
Lymphoepithelial tumour 5 0.8 1.2 1.8 1 20 n.a.
Malignant mesothelioma 24 2.08 2.25 5.17 14 58.3 n.a.
Mucoepidermoid carcinoma 17 2.12 2.59 5.88 14 82.4 n.a.
Oral cavity. carcinoma
53
1.81
2.34
4.72
29
54.7
n.a.
Parotis
Parotis. normal 10 1.8 1.9 3.9 5 50  
Parotis. pleomorphic adenoma 60 1.02 1.18 1.57 7 11.7 0.003
Warthin's tumour
54
2.76
3.13
9.2
46
85.2
0.011
Gastrointestinal tumours
Colon
Colon. normal 14 2.38 2.69 6.54 12 92.3  
Colon adenoma. low grade 45 2.49 2.27 5.82 36 80 0.301
Colon adenoma. high grade 30 2.77 2 5.63 21 70 0.112
Colon cancer
59
2.12
1.67
3.98
30
50
0.005
Esophagus
Esophagus. normal 5 1.8 3.2 6.2 4 80  
Esophageal carcinoma. adenocarcinoma 59 2.29 2.24 5.19 40 67.8 0.572
Esophageal carcinoma. SQCC
56
2.41
2.48
6.09
48
85.7
0.73
Gall bladder
Gall bladder. normal 9 2.56 3.11 8.44 8 88.9  
Gall bladder carcinoma 25 2.08 2.12 4.68 15 60 0.112
Gastrointestinal stroma tumour (GIST)
46
1.59
2.37
4.09
21
45.7
n.a.
Liver
Liver. normal 5 2.6 4 10.4 5 100  
Hepatocellular carcinoma
53
2.43
3
7.77
45
84.9
0.349
Pancreas
Pancreas. normal 10 2.3 2.5 6.1 8 80  
Pancreatic cancer. ductal adenocarcinoma 53 2.11 2.13 4.72 40 75.5 0.758
Pancreatic cancer. neuroendocrine 18 1.89 2.61 5.11 13 72.2 0.649
Pancreatic cancer. papilla. adeno
28
2.36
2.32
5.71
23
82.1
0.881
Small intestine
Small intestine. normal 7 1.57 2.29 4 3 42.9  
Small intestine carcinoma
22
1.86
1.82
3.45
11
50
0.742
Stomach
Stomach. normal 5 2.6 3.2 8.6 4 80  
Stomach cancer. diffuse type 54 1.54 1.85 3.15 20 37 0.061
Stomach cancer. intestinal type 56 1.55 2.23 3.52 22 39.3 0.078
Oncocytoma
62
2.48
2.94
7.71
54
87.1
0.654
Anal skin
Anal skin. normal 5 2 2 4.2 1 20  
Anal cancer
15
1.8
2.13
3.93
7
46.7
0.292
Gynecological tumours
Breast
Breast. normal 11 1.18 1.18 1.64 2 18.2  
Breast cancer. apocrine carcinoma 14 1 2 2.57 3 21.4 0.84
Breast cancer. ductal carcinoma 60 0.75 0.97 1.18 5 8.3 0.314
Breast cancer. kribriform carcinoma 24 0.79 0.92 1.29 2 8.3 0.395
Breast cancer. lobulary carcinoma 64 0.42 0.5 0.59 3 4.7 0.097
Breast cancer. medullary carcinoma 63 1.17 1.62 2.32 14 22.2 0.764
Breast cancer. mucinous carcinoma 59 1.03 1.42 2.05 12 20.3 0.87
Breast cancer. phylloid carcinoma 47 0.62 0.7 0.83 2 4.3 0.101
Breast cancer. tubulary carcinoma
58
1.21
1.36
2.45
14
24.1
0.668
Cervix
Cervix. normal 4 1.5 2 3.5 1 25  
Cervical cancer. adenocarcinoma 42 2.4 2.48 6.64 33 78.6 0.02
Cervical cancer. adenosquamous carcinoma 2 2 1.5 3.5 1 50 0.54
Cervical cancer. SQCC
63
2.13
2.83
6.29
52
82.5
0.006
Endometrium
Endometrium. normal 19 1.26 1.32 2 4 21.1  
Endometrial cancer. endometroid carcinoma 60 2.62 2.9 7.75 55 91.7 < 0.0001
Endometrial cancer. serous carcinoma
53
2.13
2.4
5.51
40
75.5
< 0.0001
Ovary
Ovar. normal 4 1.25 0.75 1.25 0 0  
Ovarian cancer. brenner tumour 40 2.05 2.38 5.53 22 55 0.036
Ovarian cancer. endometroid carcinoma 22 2.9 3 8.81 21 100 < 0.0001
Ovarian cancer. mucinous carcinoma 44 2.25 3.07 7.09 44 90 < 0.0001
Ovarian cancer. serous carcinoma 63 1.87 2.87 5.62 47 74.6 0.002
Teratoma
57
1.37
1.33
2.74
18
31.6
0.181
Vagina
Vagina. normal 5 1.8 1.4 3.4 2 40  
Vagina carcinoma. SQCC
20
2.05
2.3
5
14
70
0.211
Vulva
Vulva. normal 4 2.25 2.5 5.25 3 75  
Vulva carcinoma. SQCC
60
2.02
3.1
6.32
54
90
0.352
Genitourinary tract tumours
Testis
Testis. normal 5 1.8 1.8 3.6 2 40  
Testis. non-seminoma 44 1.18 1.77 2.75 13 29.5 0.631
Testis. seminoma
92
1.27
2.02
2.71
24
26.1
0.494
Penis
Penis. normal 5 1.4 2.2 3.4 2 40  
Penile carcinoma
46
1.5
2.28
3.8
21
45.7
0.809
Prostate
Prostate. normal 26 1.88 2.54 5.15 18 69.2  
Prostate cancer
63
0.86
1.1
1.33
5
7.9
< 0.0001
Renal cell cancer
Kidney. normal 19 1.95 2.68 5.79 14 73.7  
Renal cell cancer. chromophobic 56 1.95 2.98 5.95 44 78.6 0.66
Renal cell cancer. clear cell 68 1 1.38 1.62 4 5.9 <0.0001
Renal cell cancer. papillary 31 1.68 2.58 4.58 18 58.1 0.264
Renal cell cancer. colibri
9
0.89
2.22
2.56
3
33.3
0.041
Urinary bladder
Urinary bladder. normal 5 1 1 1.2 0 0  
Urinary bladder cancer. non-invasive (pTa) 60 2.75 3.35 9.67 53 88.3 <0.0001
Urinary bladder cancer. invasive (pT2-4) 60 1.88 2.2 4.42 34 56.7 0.015
Urinary bladder cancer. colibri
10
1.4
2.1
2.9
3
30
0.171
Neuroendocrine tumours
Adrenal cortex
Adrenal cortex. normal 5 1 1.6 1.6 0 0  
Adrenal cortex. adenoma 21 1.52 2.38 3.62 8 38.1 0.097
Adrenal cortex. carcinoma 8 1.63 2.63 4.63 3 37.5 0.118
Carcinoid 38 1.92 2.26 4.47 23 60.5 n.a.
Paraganglioma 34 1.88 2.41 4.82 19 55.9 n.a.
Phaeochromocytoma
65
1.16
1.73
2.5
16
25
0.202
Thyroid
Thyroid. normal 4 1 0.75 1.5 1 25  
Thyroid carcinoma. anaplastic 3 1.67 1 1.67 0 0 0.35
Thyroid carcinoma. follicular 46 2.5 2.63 7.13 37 80.4 0.013
Thyroid carcinoma. medullary 25 2.24 2.08 4.6 15 60 0.191
Thyroid carcinoma. papillary 47 2.51 2.62 7.13 40 85.1 0.004
Thyroid. adenoma
62
2.82
2.89
8.3
56
90.3
< 0.0001
Hematological neoplasias
Lymph node
Lymph node. normal 20 1.1 1.25 2.2 5 25  
Hodgkin's lymphoma 38 1.29 1.5 1.95 5 13.2 0.256
Non-Hodgkin's lymphoma
8
1.38
1.25
2.13
1
12.5
0.466
Thymus
Thymus. normal 4 0.25 0.25 0.25 0 0  
Thymoma
55
1.24
1.76
2.84
20
36.4
0.138
Neuronal tumours
Brain
Brain. normal 5 0 0 0 0 0  
Astrocytoma 37 1.11 1.68 2.46 11 29.7 0.156
Ependymoma 10 1.1 1.1 1.4 1 10 0.464
Medulloblastoma 4 1.75 1.5 2.75 2 50 0.073
Oligodendroglioma 23 1.39 1.52 2.74 7 30.4 0.154
Neuroblastoma
48
1.88
1.9
4.17
26
54.2
0.021
Soft tissue tumours
Muscle
Muscle. normal 14 1.64 1.79 3.29 5 35.7  
Angiosarcoma 7 1.57 1.43 2.43 2 28.6 0.743
Dermatofibrosarcoma protuberans 5 0.8 1 1.4 1 20 0.516
Carcinosarcoma 36 0.94 1.58 1.92 7 19.4 0.226
Desmoid tumour
9
0.44
0.67
0.67
0
0
0.043
Tendon sheat
Tendon sheat. normal 2 2 2.5 5.5 1 50  
Giant cell tumour of the tendon sheat 33 2.03 2.3 4.73 24 72.7 0.49
Granular cell cancer 7 1.29 1.71 2.43 2 28.6 n.a.
Haemangiopericytoma 7 1.29 1.57 2.43 2 28.6 n.a.
Leiomyoma 24 1.29 1.96 3.17 11 45.8 0.542
Leiomyosarcoma 28 1.36 2.25 3.61 12 42.9 0.657
Liposarcoma 16 0.81 1.38 1.5 2 12.5 n.a.
Malignant fibrous histiocytoma 24 1.08 1.42 2.21 4 16.7 n.a.
Malignant schwannoma 14 1.14 1.14 2 2 14.3 n.a.
Neurofibroma 49 1.02 1.12 2.04 10 20.4 n.a.
Stroma sarcoma
11
1
1.64
2.09
3
27.3
0.653
Bone tumours
Chondrosarcoma
4
1.75
2
4.25
2
50
n.a.
Skin tumours
Skin
Skin. normal 17 1.65 1.76 3.29 7 41.2  
Basal cell adenoma 34 1.56 1.59 2.74 14 41.2 1
Basalioma 46 2.54 3.04 7.91 42 91.3 < 0.0001
Malignant melanoma 30 1.43 1.83 2.9 9 30 0.437
Merkel cell cancer
2
1
1
1
0
0
0.253
Naevus
Naevus. benign 40 2.08 2.08 4.55 24 60 0.192
Pilomatrixoma 38 1.39 1.55 2.82 16 41.2 0.949
Skin cancer. SQCC 45 1.6 2.36 3.82 22 48.9 0.587

NOTE. All tissue samples were derived from surgically removed specimens. Results were calculated either by Fisheŕs exact test or by Chi-square test when applicable. Significant results for differential presence compared with available normal controls are shown in bold.

In comparison with healthy controls, significantly increased numbers of CAR-positive cases were found in basalioma, larynx carcinoma, Warthin's tumour, lung cancer, cervical cancer, endometrial cancer, ovarian cancer, urinary bladder cancer, thyroid adenoma and carcinoma, as well as in neuroblastoma (Table 1; Figure 3). On the other hand, significantly lower CAR expression levels were seen in pleomorphic adenoma of the parotid gland, colon cancers, prostate cancers, as well as subtypes of renal cell cancers (Table 1; Figure 4). To assess whether CAR presence correlates with clinicopathological parameters, we compared our findings for CAR immunopositivity with tumour grade (G), local tumour growth (T-category) and nodal status (N-category) where applicable, revealing the loss of CAR in locally advanced colon cancers (Table 2).

Figure 3.

Figure 3

CAR overexpression in neoplasms: Representative examples of entities displaying elevated CAR protein expression compared with respective normal controls (numbers = IRS of the individual specimen). Ovary: endometroid carcinoma; urinary bladder cancer: non-invasive/pTa; thyroid: papillary carcinoma.

Figure 4.

Figure 4

Loss of CAR expression in neoplasms: Typical sites with significant down regulation of CAR protein expression (numbers = IRS of the individual specimen). Kidney: clear cell renal cancer.

Table 2. CAR presence and clinico-pathological parameters.

 
pT
 
pN
 
G
 
Tissue type 1 2 3 4 P-value 0 1 2 3 P-value 1 2 3 4 P-value
Larynx. carcinoma
 
 
 
 
0.283
 
 
 
 
0.749
 
 
 
 
0.302
 CAR− 0 2 2 4   5 1 0 0   1 8 1    
 CAR+
 
3
8
6
4
 
9
2
2
1
 
0
20
3
 
Lung cancer. adenocarcinoma
 
 
 
 
0.581
 
 
 
 
0.073
 
 
 
 
0.452
 CAR− 2 5 0 0   0 5 1 0     3 4    
 CAR+
9
13
3
4
 
11
6
6
1
 
 
13
9
 
 
Lung cancer. bronchioalveolary carcinoma
 
 
 
 
0.956
 
 
 
 
0.307
 
 
 
 
0.018
 CAR− 1 2       3 0 0     2 0 0    
 CAR+
2
4
 
 
 
2
2
1
 
 
0
4
2
 
 
Lung cancer. large cell cancer
 
 
 
 
0.274
 
 
 
 
0.222
 
 
 
 
0.147
 CAR− 0 2 1 0   1 1 1         3 0  
 CAR+
1
6
2
2
 
4
4
3
 
 
 
 
2
2
 
Lung cancer. NSCLC
 
 
 
 
0.664
 
 
 
 
0.444
 
 
 
 
0.816
 CAR - 3 3 1 1   5 1 0 0     6 2    
 CAR +
7
23
6
3
 
15
14
6
1
 
 
26
7
 
 
Colon cancer
 
 
 
 
0.010
 
 
 
 
 
 
 
 
 
 
 CAR− 0 3 14 12                      
 CAR+
2
8
8
5
 
 
 
 
 
 
 
 
 
 
 
Cervical cancer. adenocarcinoma
 
 
 
 
0.513
 
 
 
 
0.457
 
 
 
 
0.112
 CAR− 5 0       3 0       2 0 1    
 CAR+
18
4
 
 
 
10
5
 
 
 
2
7
5
 
 
Cervical cancer. SQCC
 
 
 
 
0.248
 
 
 
 
0.966
 
 
 
 
0.662
 CAR− 10 1   0   7 2         4 7    
 CAR+
31
12
 
3
 
31
11
 
 
 
 
13
31
 
 
Endometrial cancer. endometroid
 
 
 
 
0.646
 
 
 
 
0.535
 
 
 
 
0.922
 CAR− 5 0 0     1 1       3 1 1    
 CAR+
41
7
5
 
 
20
4
 
 
 
29
15
9
 
 
Ovarian cancer. mucinous
 
 
 
 
0.438
 
 
 
 
0.803
 
 
 
 
0.275
 CAR− 0 0       0 0       0 2 0    
 CAR+
11
1
 
 
 
3
1
 
 
 
9
9
4
 
 
Ovarian cancer. serous
 
 
 
 
0.312
 
 
 
 
0.876
 
 
 
 
0.120
 CAR− 1 0 3     3 5       1 2 12    
 CAR+
1
3
17
 
 
11
12
 
 
 
2
20
25
 
 
Renal cell cancer. chromophobic
 
 
 
 
0.523
 
 
 
 
 
 
 
 
 
0.553
 CAR− 3 2 1               0 5 1 0  
 CAR+
16
10
6
 
 
 
 
 
 
 
5
23
2
2
 
Renal cell cancer. colibri
 
 
 
 
0.337
 
 
 
 
0.392
 
 
 
 
0.809
 CAR− 2 1 3     2 1 1       3 1    
 CAR +
0
1
1
 
 
0
2
0
 
 
 
2
1
 
 
Renal cell cancer. clear cell
 
 
 
 
0.949
 
 
 
 
0.465
 
 
 
 
0.635
 CAR− 46 3 13     16 2       8 45 8    
 CAR+
3
0
1
 
 
0
0
 
 
 
0
3
1
 
 
Renal cell cancer. papillary
 
 
 
 
0.123
 
 
 
 
0.100
 
 
 
 
0.495
 CAR− 9 2 2     1 2       3 9 1    
 CAR+
12
2
0
 
 
0
0
 
 
 
5
11
0
 
 
Urinary bladder cancer. colibri
 
 
 
 
0.724
 
 
 
 
0.665
 
 
 
 
 
 CAR− 1 1 2 2   5 1 1              
 CAR+
0
1
1
0
 
2
0
1
 
 
 
 
 
 
 
Urinary bladder cancer
 
 
 
 
0.622
 
 
 
 
0.101
 
 
 
 
0.234
 CAR−   21 5 0   1 2 0       3 23    
 CAR+
 
28
5
1
 
0
0
3
 
 
 
8
26
 
 
Thyroid carcinoma. follicular
 
 
 
 
0.468
 
 
 
 
 
 
 
 
 
 
 CAR− 7 2 0 0                      
 CAR +
29
3
4
1
 
 
 
 
 
 
 
 
 
 
 
Thyroid carcinoma. medullary
 
 
 
 
0.551
 
 
 
 
0.672
 
 
 
 
 
 CAR− 0 2 1 0   0 1                
 CAR+
1
4
0
1
 
1
2
 
 
 
 
 
 
 
 
Thyroid carcinoma. papillary
 
 
 
 
0.383
 
 
 
 
0.673
 
 
 
 
0.386
 CAR− 0 4 1 0   0 1       1 0      
 CAR+ 8 16 4 7   4 6       1 1      

NOTE. Results were calculated by Chi-square test for neoplasms showing differential CAR presence compared with respective controls. Significant results are shown in bold.

Table 3. Findings of differential CAR presence in human neoplasms compared with previous publications.

CAR upregulation
Basalioma N
Thyroid adenoma N
Warthin's tumours N
Laryngeal cancer N
Thyroid carcinoma A (Marsee et al, 2005; Giaginis et al, 2010)
Lung cancer A (Wang et al, 2006; Chen et al 2013)
Neuroblastomas A (Persson et al, 2006)
Medulloblastomas A (Persson et al, 2006)
Endometrial cancer A (Giaginis et al, 2008)
Ovarian cancer A (Reimer et al, 2007)
Cervical carcinoma A (Dietel et al, 2011)
Non-invasive urinary bladder cancer
D
(Sachs et al, 2002; Matsumoto et al, 2005; Buscarini et al, 2007)
CAR downregulation
Pleomorphic adenoma (parotid gland) N
Colon A (Korn et al, 2006; Zhang et al, 2008; Stecker et al, 2011)
Prostate A (Rauen et al, 2002)
Kidney A (Okegawa et al, 2001)

Abbreviations: A=agreement; D=disagreement; N=new finding.

Discussion

Our data provide insight into CAR expression levels in a broad range of neoplasias and their corresponding normal tissues, including several that have not been investigated before. As the samples in our analysis were all stained in one procedure, the results allow for a direct comparison between different entities for the first time. It reveals considerable differences in CAR expression levels and confirms the hypothesis of entity-specific expression pattern. Hereby, our data may provide a basis to gain further insight into the complex and potentially organ-site-specific function and regulation of CAR during carcinogenesis. Furthermore, entities with high CAR presence identified by our study may pose promising targets for therapeutic adenoviruses.

In normal tissues, our observations of high CAR expression level within the liver, stomach, colon and pancreas are in agreement with previous reports (Korn et al, 2006; Anders et al, 2009; Stecker et al, 2011). Our finding of profuse immunopositivity within the gall bladder marks the first description of this phenomenon to our best knowledge. These data suggest a particular impact of CAR within the gastrointestinal tract. In line with this hypothesis, functional CAR knockout in a murine model led to a dilated intestinal tract (Pazirandeh et al, 2011). Despite abundant CAR presence, symptomatic infections of these organs by Adeno- and Coxsackieviruses are rare because of the limited access to CAR and acquired immunity. Nevertheless, high CAR expression within the liver may lead to substantial unwanted sequestering of systemically administered therapeutic adenoviruses (Arnberg, 2012). In contrast, we found no detectable CAR immunopositivity within the brain, in line with previous studies showing the white matter being CAR-negative and scattered CAR-positive neurons within the neocortex and in ependymal cells only (Johansson et al, 1999; Persson et al, 2006).

In several early neoplasms, we did note significantly elevated CAR expression levels. Hereby, our finding of increased CAR expression in basaliomas, thyroid adenomas and Warthin's tumours – benign neoplasms of the salivary glands – are the first description of this fact to our best knowledge. The later might be of particular interest, as we did note a significant impairment of CAR in pleomorphic adenoma of the parotid gland also. The functional impact of this result, however, remains to be elucidated.

In cancer types, our finding of significant CAR increase in laryngeal carcinoma marks the first description of this phenomenon to our best knowledge. Therefore, our data may initiate further studies in this entity. In line with prior reports, we noted abundant CAR presence in several subtypes of thyroid carcinoma (Marsee et al, 2005; Giaginis et al, 2010), in lung cancer (Wang et al, 2006; Chen et al, 2013), as well as in neuro- and medulloblastomas (Persson et al, 2006). Moreover, in agreement with previous reports we found significantly hightened CAR presence in cancers of the endometrium (Giaginis et al, 2008), ovary (Reimer et al, 2007) and cervix (Dietel et al, 2011). These data suggest that CAR overexpression occurs preferentially in cancers of the female reproductive system, contrary to reduced CAR presence in neoplasms of the testis and prostate. The reason for this phenomenon remains unclear, yet hormone-driven effects might be of particular interest. Previously, an increased CAR expression by treatment with estradiol was found in hormone receptor-positive breast cancer and ovarian cancer cell lines (You et al, 2001; Auer et al, 2009). Furthermore, our data imply that CAR may have little impact on breast cancer as we did not observe distinct expression changes in breast epithelium in contrast to a previous study, describing elevated transcriptional CAR expression in breast cancers (Martin et al, 2005).

In disagreement with previous reports we noted a significantly increased CAR presence in non-invasive urinary bladder cancers because of the low presence of CAR in normal urinary bladder samples (Sachs et al, 2002; Matsumoto et al, 2005; Buscarini et al, 2007). These differences might be caused by methodical differences such as the use of different antibodies, yet may be explained by the limited number of healthy cases in our study also.

Concerning CAR downregulation, our finding in cancer types is in agreement with previous studies for the colon (Korn et al, 2006; Zhang et al, 2008; Stecker et al, 2011), prostate (Rauen et al, 2002) and kidney (Okegawa et al, 2001).

For a subset of entities, access to clinicopathological data allowed for further analysis of potential relations to CAR presence. Our finding of CAR downregulation in locally advanced colon cancers underlines the concept of CAR's tumour-suppressive role in this entity (Stecker et al, 2011). However, as our study aims for a comprehensive evaluation of neoplasms, it is limited although concerning sample numbers and clinicopathological data for individual entities. Therefore, our study potentially underestimates associations between CAR and clinicopathological properties.

In conclusion, our data suggest that differential expression of CAR in cancer types represents an entity-specific phenomenon with CAR upregulation happening more frequently than its downregulation. These findings shed a new light on CAR regulation in cancer types also. To date, mainly CAR downregulation in cancer types has been investigated. Hereby, activation of the Raf/MEK/ERK pathway and TGF-β signalling, hypoxia, epithelial–mesenchymal transdifferentiation and histone deacetylation of the CAR gene promoter were identified as regulators of CAR expression (Brüning and Runnebaum, 2003; Pong et al, 2003; Anders et al, 2003a; Lacher et al, 2006; Küster et al, 2010a, 2010b; Lacher et al, 2011). In contrast, few studies have investigated the mechanism of CAR upregulation. Therefore, it remains to be elucidated whether the MAPK/ERK1/2 signalling induces CAR expression in other entities than oesophageal squamous cell carcinomas (Ma et al, 2012), and, for instance, whether hormones influence CAR levels in cancer types as discussed above. Furthermore, our findings have potential implications for the understanding of the function of CAR in cancer types. To date, CAR has been mainly attributed cancer-suppressive properties. Previous studies on CAR function, however, have been performed in models of advanced cancer types of the colon, prostate and kidney. However, all these entities do belong to the limited number of sites showing significant CAR downregulation in our study. Upregulation of CAR on the other hand might be suggestive of a tumour-promoting function of CAR in several other organs. In line with this hypothesis, an association has been found between high CAR expression and increased proliferation and/or invasion in endometrial, ovarian, and cervical cancers as well as in lung cancer (Brüning et al, 2005; Giaginis et al, 2008; Dietel et al, 2011; Chen et al, 2013). Furthermore, CAR has been shown to foster early carcinogenesis in ovarian and cervical cancers, with CAR-expressing cell lines displaying less sensitivity towards apoptotic stimuli (Brüning et al, 2005). On the other hand, migration and metastatic phenotypes are being suppressed by CAR overexpression in cell lines derived from the same entities (Brüning and Runnebaum, 2004; Wang et al, 2005). These results underline that off course CAR expression levels per se do not allow for prediction of functional impact. Nevertheless, our findings may serve as a guide to neoplasms potentially influenced by CAR.

Acknowledgments

We thank Jennifer Schröder-Schwarz for technical assistance. This study was supported by a grant from the Deutsche Forschungsgemeinschaft to MA.

Footnotes

This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License.

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