Literature DB >> 24022195

Presence of the coxsackievirus and adenovirus receptor (CAR) in human neoplasms: a multitumour array analysis.

M Reeh1, M Bockhorn, D Görgens, M Vieth, T Hoffmann, R Simon, J R Izbicki, G Sauter, U Schumacher, M Anders.   

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.

Entities:  

Mesh:

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Year:  2013        PMID: 24022195      PMCID: PMC3790165          DOI: 10.1038/bjc.2013.509

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


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 ; Cohen ). 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 ). In various human cancer types, however, particularly those displaying loss of differentiation, and advanced disease stages, reduced CAR presence has been documented (Heideman ; Rauen ; Sachs ; Matsumoto ; Korn ; Anders ; Wunder , 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 ; Anders ). 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 ; Anders ; Lacher ; Küster , 2010b; Lacher ). In contrast, CAR upregulation was found in cancers of the endometrium, ovary, cervix, breast and lung, as well as neuroblastomas and medulloblastomas (Martino ; Martin ; Persson ; Wang ; Reimer ; Giaginis ; Dietel ). In breast and lung cancer types, high CAR expression has been linked to poor overall survival and shorter disease-free survival, respectively (Martin ; Wunder ). 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 ). Furthermore, disruption of cellular organisation has been found to upregulate CAR in early breast cancer (Anders ). 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 , 2001; Brüning and Runnebaum, 2004; Huang ; Wang ; Raschperger ; Anders ; Stecker ). 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 ; Brüning ). 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

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

Percentage of CAR-positive cases in normal samples: Portion of CAR-positive cases was calculated on the basis of the IRS (see

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 typenIntensity (mean)Pos. cells (mean)IRS (mean)CAR positive n%P-value
Respiratory tract tumours
Larynx
Larynx. normal51.21.21.400 
Larynx. carcinoma
55
1.96
2.2
4.8
35
63.6
0.006
Lung
Lung. normal241.541.833.041145.8 
Lung cancer. adenocarcinoma682.132.65.685682.40.001
Lung cancer. bronchioalveolary carcinoma131.852.625.31969.20.173
Lung cancer. large cell cancer451.782.224.362555.60.441
Lung cancer. NSCLC101.31.934400.755
Lung cancer. small cell cancer131.541.773.23646.20.985
Lung cancer. SQCC572.192.846.264884.2< 0.0001
Lymphoepithelial tumour50.81.21.8120n.a.
Malignant mesothelioma242.082.255.171458.3n.a.
Mucoepidermoid carcinoma172.122.595.881482.4n.a.
Oral cavity. carcinoma
53
1.81
2.34
4.72
29
54.7
n.a.
Parotis
Parotis. normal101.81.93.9550 
Parotis. pleomorphic adenoma601.021.181.57711.70.003
Warthin's tumour
54
2.76
3.13
9.2
46
85.2
0.011
Gastrointestinal tumours
Colon
Colon. normal142.382.696.541292.3 
Colon adenoma. low grade452.492.275.8236800.301
Colon adenoma. high grade302.7725.6321700.112
Colon cancer
59
2.12
1.67
3.98
30
50
0.005
Esophagus
Esophagus. normal51.83.26.2480 
Esophageal carcinoma. adenocarcinoma592.292.245.194067.80.572
Esophageal carcinoma. SQCC
56
2.41
2.48
6.09
48
85.7
0.73
Gall bladder
Gall bladder. normal92.563.118.44888.9 
Gall bladder carcinoma252.082.124.6815600.112
Gastrointestinal stroma tumour (GIST)
46
1.59
2.37
4.09
21
45.7
n.a.
Liver
Liver. normal52.6410.45100 
Hepatocellular carcinoma
53
2.43
3
7.77
45
84.9
0.349
Pancreas
Pancreas. normal102.32.56.1880 
Pancreatic cancer. ductal adenocarcinoma532.112.134.724075.50.758
Pancreatic cancer. neuroendocrine181.892.615.111372.20.649
Pancreatic cancer. papilla. adeno
28
2.36
2.32
5.71
23
82.1
0.881
Small intestine
Small intestine. normal71.572.294342.9 
Small intestine carcinoma
22
1.86
1.82
3.45
11
50
0.742
Stomach
Stomach. normal52.63.28.6480 
Stomach cancer. diffuse type541.541.853.1520370.061
Stomach cancer. intestinal type561.552.233.522239.30.078
Oncocytoma
62
2.48
2.94
7.71
54
87.1
0.654
Anal skin
Anal skin. normal5224.2120 
Anal cancer
15
1.8
2.13
3.93
7
46.7
0.292
Gynecological tumours
Breast
Breast. normal111.181.181.64218.2 
Breast cancer. apocrine carcinoma14122.57321.40.84
Breast cancer. ductal carcinoma600.750.971.1858.30.314
Breast cancer. kribriform carcinoma240.790.921.2928.30.395
Breast cancer. lobulary carcinoma640.420.50.5934.70.097
Breast cancer. medullary carcinoma631.171.622.321422.20.764
Breast cancer. mucinous carcinoma591.031.422.051220.30.87
Breast cancer. phylloid carcinoma470.620.70.8324.30.101
Breast cancer. tubulary carcinoma
58
1.21
1.36
2.45
14
24.1
0.668
Cervix
Cervix. normal41.523.5125 
Cervical cancer. adenocarcinoma422.42.486.643378.60.02
Cervical cancer. adenosquamous carcinoma221.53.51500.54
Cervical cancer. SQCC
63
2.13
2.83
6.29
52
82.5
0.006
Endometrium
Endometrium. normal191.261.322421.1 
Endometrial cancer. endometroid carcinoma602.622.97.755591.7< 0.0001
Endometrial cancer. serous carcinoma
53
2.13
2.4
5.51
40
75.5
< 0.0001
Ovary
Ovar. normal41.250.751.2500 
Ovarian cancer. brenner tumour402.052.385.5322550.036
Ovarian cancer. endometroid carcinoma222.938.8121100< 0.0001
Ovarian cancer. mucinous carcinoma442.253.077.094490< 0.0001
Ovarian cancer. serous carcinoma631.872.875.624774.60.002
Teratoma
57
1.37
1.33
2.74
18
31.6
0.181
Vagina
Vagina. normal51.81.43.4240 
Vagina carcinoma. SQCC
20
2.05
2.3
5
14
70
0.211
Vulva
Vulva. normal42.252.55.25375 
Vulva carcinoma. SQCC
60
2.02
3.1
6.32
54
90
0.352
Genitourinary tract tumours
Testis
Testis. normal51.81.83.6240 
Testis. non-seminoma441.181.772.751329.50.631
Testis. seminoma
92
1.27
2.02
2.71
24
26.1
0.494
Penis
Penis. normal51.42.23.4240 
Penile carcinoma
46
1.5
2.28
3.8
21
45.7
0.809
Prostate
Prostate. normal261.882.545.151869.2 
Prostate cancer
63
0.86
1.1
1.33
5
7.9
< 0.0001
Renal cell cancer
Kidney. normal191.952.685.791473.7 
Renal cell cancer. chromophobic561.952.985.954478.60.66
Renal cell cancer. clear cell6811.381.6245.9<0.0001
Renal cell cancer. papillary311.682.584.581858.10.264
Renal cell cancer. colibri
9
0.89
2.22
2.56
3
33.3
0.041
Urinary bladder
Urinary bladder. normal5111.200 
Urinary bladder cancer. non-invasive (pTa)602.753.359.675388.3<0.0001
Urinary bladder cancer. invasive (pT2-4)601.882.24.423456.70.015
Urinary bladder cancer. colibri
10
1.4
2.1
2.9
3
30
0.171
Neuroendocrine tumours
Adrenal cortex
Adrenal cortex. normal511.61.600 
Adrenal cortex. adenoma211.522.383.62838.10.097
Adrenal cortex. carcinoma81.632.634.63337.50.118
Carcinoid381.922.264.472360.5n.a.
Paraganglioma341.882.414.821955.9n.a.
Phaeochromocytoma
65
1.16
1.73
2.5
16
25
0.202
Thyroid
Thyroid. normal410.751.5125 
Thyroid carcinoma. anaplastic31.6711.67000.35
Thyroid carcinoma. follicular462.52.637.133780.40.013
Thyroid carcinoma. medullary252.242.084.615600.191
Thyroid carcinoma. papillary472.512.627.134085.10.004
Thyroid. adenoma
62
2.82
2.89
8.3
56
90.3
< 0.0001
Hematological neoplasias
Lymph node
Lymph node. normal201.11.252.2525 
Hodgkin's lymphoma381.291.51.95513.20.256
Non-Hodgkin's lymphoma
8
1.38
1.25
2.13
1
12.5
0.466
Thymus
Thymus. normal40.250.250.2500 
Thymoma
55
1.24
1.76
2.84
20
36.4
0.138
Neuronal tumours
Brain
Brain. normal500000 
Astrocytoma371.111.682.461129.70.156
Ependymoma101.11.11.41100.464
Medulloblastoma41.751.52.752500.073
Oligodendroglioma231.391.522.74730.40.154
Neuroblastoma
48
1.88
1.9
4.17
26
54.2
0.021
Soft tissue tumours
Muscle
Muscle. normal141.641.793.29535.7 
Angiosarcoma71.571.432.43228.60.743
Dermatofibrosarcoma protuberans50.811.41200.516
Carcinosarcoma360.941.581.92719.40.226
Desmoid tumour
9
0.44
0.67
0.67
0
0
0.043
Tendon sheat
Tendon sheat. normal222.55.5150 
Giant cell tumour of the tendon sheat332.032.34.732472.70.49
Granular cell cancer71.291.712.43228.6n.a.
Haemangiopericytoma71.291.572.43228.6n.a.
Leiomyoma241.291.963.171145.80.542
Leiomyosarcoma281.362.253.611242.90.657
Liposarcoma160.811.381.5212.5n.a.
Malignant fibrous histiocytoma241.081.422.21416.7n.a.
Malignant schwannoma141.141.142214.3n.a.
Neurofibroma491.021.122.041020.4n.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. normal171.651.763.29741.2 
Basal cell adenoma341.561.592.741441.21
Basalioma462.543.047.914291.3< 0.0001
Malignant melanoma301.431.832.99300.437
Merkel cell cancer
2
1
1
1
0
0
0.253
Naevus
Naevus. benign402.082.084.5524600.192
Pilomatrixoma381.391.552.821641.20.949
Skin cancer. SQCC451.62.363.822248.90.587

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

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

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 type1234P-value0123P-value1234P-value
Larynx. carcinoma
 
 
 
 
0.283
 
 
 
 
0.749
 
 
 
 
0.302
 CAR−0224 5100 181  
 CAR+
 
3
8
6
4
 
9
2
2
1
 
0
20
3
 
Lung cancer. adenocarcinoma
 
 
 
 
0.581
 
 
 
 
0.073
 
 
 
 
0.452
 CAR−2500 0510  34  
 CAR+
9
13
3
4
 
11
6
6
1
 
 
13
9
 
 
Lung cancer. bronchioalveolary carcinoma
 
 
 
 
0.956
 
 
 
 
0.307
 
 
 
 
0.018
 CAR−12   300  200  
 CAR+
2
4
 
 
 
2
2
1
 
 
0
4
2
 
 
Lung cancer. large cell cancer
 
 
 
 
0.274
 
 
 
 
0.222
 
 
 
 
0.147
 CAR−0210 111    30 
 CAR+
1
6
2
2
 
4
4
3
 
 
 
 
2
2
 
Lung cancer. NSCLC
 
 
 
 
0.664
 
 
 
 
0.444
 
 
 
 
0.816
 CAR -3311 5100  62  
 CAR +
7
23
6
3
 
15
14
6
1
 
 
26
7
 
 
Colon cancer
 
 
 
 
0.010
 
 
 
 
 
 
 
 
 
 
 CAR−031412           
 CAR+
2
8
8
5
 
 
 
 
 
 
 
 
 
 
 
Cervical cancer. adenocarcinoma
 
 
 
 
0.513
 
 
 
 
0.457
 
 
 
 
0.112
 CAR−50   30   201  
 CAR+
18
4
 
 
 
10
5
 
 
 
2
7
5
 
 
Cervical cancer. SQCC
 
 
 
 
0.248
 
 
 
 
0.966
 
 
 
 
0.662
 CAR−101 0 72    47  
 CAR+
31
12
 
3
 
31
11
 
 
 
 
13
31
 
 
Endometrial cancer. endometroid
 
 
 
 
0.646
 
 
 
 
0.535
 
 
 
 
0.922
 CAR−500  11   311  
 CAR+
41
7
5
 
 
20
4
 
 
 
29
15
9
 
 
Ovarian cancer. mucinous
 
 
 
 
0.438
 
 
 
 
0.803
 
 
 
 
0.275
 CAR−00   00   020  
 CAR+
11
1
 
 
 
3
1
 
 
 
9
9
4
 
 
Ovarian cancer. serous
 
 
 
 
0.312
 
 
 
 
0.876
 
 
 
 
0.120
 CAR−103  35   1212  
 CAR+
1
3
17
 
 
11
12
 
 
 
2
20
25
 
 
Renal cell cancer. chromophobic
 
 
 
 
0.523
 
 
 
 
 
 
 
 
 
0.553
 CAR−321       0510 
 CAR+
16
10
6
 
 
 
 
 
 
 
5
23
2
2
 
Renal cell cancer. colibri
 
 
 
 
0.337
 
 
 
 
0.392
 
 
 
 
0.809
 CAR−213  211   31  
 CAR +
0
1
1
 
 
0
2
0
 
 
 
2
1
 
 
Renal cell cancer. clear cell
 
 
 
 
0.949
 
 
 
 
0.465
 
 
 
 
0.635
 CAR−46313  162   8458  
 CAR+
3
0
1
 
 
0
0
 
 
 
0
3
1
 
 
Renal cell cancer. papillary
 
 
 
 
0.123
 
 
 
 
0.100
 
 
 
 
0.495
 CAR−922  12   391  
 CAR+
12
2
0
 
 
0
0
 
 
 
5
11
0
 
 
Urinary bladder cancer. colibri
 
 
 
 
0.724
 
 
 
 
0.665
 
 
 
 
 
 CAR−1122 511       
 CAR+
0
1
1
0
 
2
0
1
 
 
 
 
 
 
 
Urinary bladder cancer
 
 
 
 
0.622
 
 
 
 
0.101
 
 
 
 
0.234
 CAR− 2150 120   323  
 CAR+
 
28
5
1
 
0
0
3
 
 
 
8
26
 
 
Thyroid carcinoma. follicular
 
 
 
 
0.468
 
 
 
 
 
 
 
 
 
 
 CAR−7200           
 CAR +
29
3
4
1
 
 
 
 
 
 
 
 
 
 
 
Thyroid carcinoma. medullary
 
 
 
 
0.551
 
 
 
 
0.672
 
 
 
 
 
 CAR−0210 01        
 CAR+
1
4
0
1
 
1
2
 
 
 
 
 
 
 
 
Thyroid carcinoma. papillary
 
 
 
 
0.383
 
 
 
 
0.673
 
 
 
 
0.386
 CAR−0410 01   10   
 CAR+81647 46   11   

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
BasaliomaN
Thyroid adenomaN
Warthin's tumoursN
Laryngeal cancerN
Thyroid carcinomaA(Marsee et al, 2005; Giaginis et al, 2010)
Lung cancerA(Wang et al, 2006; Chen et al 2013)
NeuroblastomasA(Persson et al, 2006)
MedulloblastomasA(Persson et al, 2006)
Endometrial cancerA(Giaginis et al, 2008)
Ovarian cancerA(Reimer et al, 2007)
Cervical carcinomaA(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
ColonA(Korn et al, 2006; Zhang et al, 2008; Stecker et al, 2011)
ProstateA(Rauen et al, 2002)
KidneyA(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 ; Anders ; Stecker ). 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 ). 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 ; Persson ). 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 ; Giaginis ), in lung cancer (Wang ; Chen ), as well as in neuro- and medulloblastomas (Persson ). Moreover, in agreement with previous reports we found significantly hightened CAR presence in cancers of the endometrium (Giaginis ), ovary (Reimer ) and cervix (Dietel ). 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 ; Auer ). 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 ). 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 ; Matsumoto ; Buscarini ). 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 ; Zhang ; Stecker ), prostate (Rauen ) and kidney (Okegawa ). 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 ). 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 ; Anders ; Lacher ; Küster , 2010b; Lacher ). 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 ), 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 ; Giaginis ; Dietel ; Chen ). 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 ). 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 ). 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.
  46 in total

1.  The coxsackievirus and adenovirus receptor is a transmembrane component of the tight junction.

Authors:  C J Cohen; J T Shieh; R J Pickles; T Okegawa; J T Hsieh; J M Bergelson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-04       Impact factor: 11.205

2.  Expression of the coxsackie adenovirus receptor in normal prostate and in primary and metastatic prostate carcinoma: potential relevance to gene therapy.

Authors:  Katherine A Rauen; Daniel Sudilovsky; Jason L Le; Karen L Chew; Byron Hann; Vivian Weinberg; Lars D Schmitt; Frank McCormick
Journal:  Cancer Res       Date:  2002-07-01       Impact factor: 12.701

Review 3.  Tissue microarrays for miniaturized high-throughput molecular profiling of tumors.

Authors:  Ronald Simon; Guido Sauter
Journal:  Exp Hematol       Date:  2002-12       Impact factor: 3.084

4.  Selective gene delivery toward gastric and esophageal adenocarcinoma cells via EpCAM-targeted adenoviral vectors.

Authors:  D A Heideman; P J Snijders; M E Craanen; E Bloemena; C J Meijer; S G Meuwissen; V W van Beusechem; H M Pinedo; D T Curiel; H J Haisma; W R Gerritsen
Journal:  Cancer Gene Ther       Date:  2001-05       Impact factor: 5.987

5.  The mechanism of the growth-inhibitory effect of coxsackie and adenovirus receptor (CAR) on human bladder cancer: a functional analysis of car protein structure.

Authors:  T Okegawa; R C Pong; Y Li; J M Bergelson; A I Sagalowsky; J T Hsieh
Journal:  Cancer Res       Date:  2001-09-01       Impact factor: 12.701

6.  The dual impact of coxsackie and adenovirus receptor expression on human prostate cancer gene therapy.

Authors:  T Okegawa; Y Li; R C Pong; J M Bergelson; J Zhou; J T Hsieh
Journal:  Cancer Res       Date:  2000-09-15       Impact factor: 12.701

7.  Coxsackievirus-adenovirus receptor expression in ovarian cancer cell lines is associated with increased adenovirus transduction efficiency and transgene expression.

Authors:  Z You; D C Fischer; X Tong; A Hasenburg; E Aguilar-Cordova; D G Kieback
Journal:  Cancer Gene Ther       Date:  2001-03       Impact factor: 5.987

8.  CAR is a cell-cell adhesion protein in human cancer cells and is expressionally modulated by dexamethasone, TNFalpha, and TGFbeta.

Authors:  A Brüning; I B Runnebaum
Journal:  Gene Ther       Date:  2003-02       Impact factor: 5.250

9.  Integrin alpha(v) and coxsackie adenovirus receptor expression in clinical bladder cancer.

Authors:  Markus D Sachs; Katherine A Rauen; Meera Ramamurthy; Jennifer L Dodson; Angelo M De Marzo; Mathew J Putzi; Mark P Schoenberg; Ronald Rodriguez
Journal:  Urology       Date:  2002-09       Impact factor: 2.649

10.  Expression of the coxsackie and adenovirus receptor in human lung cancers.

Authors:  Zhaoli Chen; Qian Wang; Jingran Sun; Ankang Gu; Min Jin; Zhiqiang Shen; Zhigang Qiu; Jingfeng Wang; Xinwei Wang; Zhongli Zhan; Jun-Wen Li
Journal:  Tumour Biol       Date:  2013-01-11
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  19 in total

1.  CXCL12 Retargeting of an Oncolytic Adenovirus Vector to the Chemokine CXCR4 and CXCR7 Receptors in Breast Cancer.

Authors:  Samia M O'Bryan; J Michael Mathis
Journal:  J Cancer Ther       Date:  2021-06

Review 2.  Paradigms lost-an emerging role for over-expression of tight junction adhesion proteins in cancer pathogenesis.

Authors:  Astrid O Leech; Rodrigo G B Cruz; Arnold D K Hill; Ann M Hopkins
Journal:  Ann Transl Med       Date:  2015-08

Review 3.  Use of cell fusion proteins to enhance adenoviral vector efficacy as an anti-cancer therapeutic.

Authors:  Joshua Del Papa; Ryan G Clarkin; Robin J Parks
Journal:  Cancer Gene Ther       Date:  2020-07-01       Impact factor: 5.987

Review 4.  Coxsackievirus B3-Its Potential as an Oncolytic Virus.

Authors:  Anja Geisler; Ahmet Hazini; Lisanne Heimann; Jens Kurreck; Henry Fechner
Journal:  Viruses       Date:  2021-04-21       Impact factor: 5.048

5.  Loss of coxsackie and adenovirus receptor expression in human colorectal cancer: A potential impact on the efficacy of adenovirus-mediated gene therapy in Chinese Han population.

Authors:  Ying-Yu Ma; Xiao-Jun Wang; Yong Han; Gang Li; Hui-Ju Wang; Shi-Bing Wang; Xiao-Yi Chen; Fan-Long Liu; Xiang-Lei He; Xiang-Min Tong; Xiao-Zhou Mou
Journal:  Mol Med Rep       Date:  2016-07-21       Impact factor: 2.952

Review 6.  The Utilization of Cell-Penetrating Peptides in the Intracellular Delivery of Viral Nanoparticles.

Authors:  Jana Váňová; Alžběta Hejtmánková; Marie Hubálek Kalbáčová; Hana Španielová
Journal:  Materials (Basel)       Date:  2019-08-22       Impact factor: 3.623

7.  TOX3 protein expression is correlated with pathological characteristics in breast cancer.

Authors:  Cui-Cui Han; Li-Ling Yue; Ying Yang; Bai-Yu Jian; Li-Wei Ma; Ji-Cheng Liu
Journal:  Oncol Lett       Date:  2016-01-15       Impact factor: 2.967

8.  Arg-Gly-Asp (RGD)-Modified E1A/E1B Double Mutant Adenovirus Enhances Antitumor Activity in Prostate Cancer Cells In Vitro and in Mice.

Authors:  Yue-Hong Shen; Fei Yang; Hua Wang; Zhi-Jian Cai; Yi-Peng Xu; An Zhao; Ying Su; Gu Zhang; Shao-Xing Zhu
Journal:  PLoS One       Date:  2016-01-22       Impact factor: 3.240

9.  CXCL12 retargeting of an adenovirus vector to cancer cells using a bispecific adapter.

Authors:  Shilpa Bhatia; Samia M O'Bryan; Angel A Rivera; David T Curiel; J Michael Mathis
Journal:  Oncolytic Virother       Date:  2016-11-11

Review 10.  Virus-Receptor Interactions: Structural Insights For Oncolytic Virus Development.

Authors:  Nadishka Jayawardena; Laura N Burga; John T Poirier; Mihnea Bostina
Journal:  Oncolytic Virother       Date:  2019-10-29
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