Introduction: The oral squamous cell carcinoma (OSCC) is the sixth most common malignant tumor worldwide. No significant better progress has been made in the treatment of OSCCs during the last decades. The heterodimeric CD97 protein is a epidermal growth factor seven-transmembrane family member and was identified as a dedifferentiation marker in thyroid carcinomas. Nothing is known about CD97 in OSCCs.

Material and Methods: Employing UV-laser microdissection, CD97 and its ligand CD55 were investigated in normal oral mucosa and OSCCs (n = 78) by multiplex reverse transcription-PCR. Frozen sections were investigated by immunohistochemistry. The effects of retinoic acid and sodium butyrate on the CD97/CD55 expression in OSCC cell lines were determined by quantitative PCR, immunocytochemistry, and flow cytometry.

Results: Weak CD97 transcripts were expressed in normal mucosa and normal basal epithelial cells revealed specific CD97 immunostaining. Strong CD97 transcripts were detected in pT3/T4 and G3/G4 OSCC tissues, whereas pT1/T2 and G1/G2 carcinomas revealed weak CD97 transcript levels. A weak CD97 immunostaining was observed in pT1/T2 and G1/G2 tumors. By contrast, intensive CD97 immunostaining was detected in pT3/T4 OSCCs and G3/G4 lesions. CD55 gene expression was low in normal mucosa. All OSCCs, irrespective of stage and grading, displayed strong CD55 immunostaining. Sodium butyrate and retinoic acid inhibited CD97 mRNA and protein in OSCC cell lines. Interestingly, CD55 was up-regulated by both substances.

Conclusion: We identified CD97 as a novel marker of dedifferentiated OSCC. Interaction of CD97 and CD55 may facilitate adhesion of OSCC cells to surrounding surfaces that would result in metastases and bad prognosis.

The oral squamous cell carcinoma (OSCC) is the sixth most common malignant tumor worldwide and increases in incidence (1). According to the histopathologic grading, OSCCs display different metastatic potentials. Highly differentiated OSCCs (G1) display slow growth and destruction to adjacent muscle, bone, and cartilage. By contrast, high invasiveness, early spread to cervical lymph nodes, and bad prognosis are hallmarks of poorly differentiated OSCCs. OSCCs frequently show local recurrence after the initial surgical or radiological treatment at the primary site. Despite modern research and therapy methods, no significant better progress has been achieved by combining surgery and radiotherapy as “traditional” therapy forms with chemotherapy. Recent studies showed that the overall survival rate in OSCC is still <50% (2). Being aware of this dilemma, clinicians and pathologists are showing a steadily growing interest in the identification of relevant markers involved in oral carcinogenesis. Several models have been proposed to elucidate risk factors, such as smoking and alcoholic beverages as well as markers that are involved in the generation and progress of oral cancer (3, 4).

CD97 is a 75- to 90-kDa protein member of the epidermal growth factor seven-transmembrane (EGF-TM7) family of class II TM7 receptors and structurally related to the secretin receptor family. Within the secretin receptor family, the EGF-TM7 molecules classify as members of the B2 subgroup of class B G-protein-coupled receptors (5). The larger of the two noncovalently associated subunits, the extracellular CD97α, contains up to five EGF-like repeats that are spliced in three alternative isoforms (6). The subunit CD97β provides the TM7 protein part.

The ubiquitous expressed CD55, also known as the decay accelerating factor, is a ligand for CD97 and protects host cells from complement attack by binding to C3b and C4b. Binding to C3b and C4b prevents the formation of the membrane attack complex. CD55 functions as a member of the regulators of the complement activation family and consists of an extracellular portion (NH2 terminus) with four short consensus repeat domains linked via a heavily O-glycolysated spacer to a COOH-terminal glycosyl-phosphatidylinositol membrane anchor (7). The interaction between the EGF-like domains of CD97 and the NH2-terminal domains of CD55 is Ca2+ dependent, and the smallest isoform of CD97 binds CD55 with the highest affinity (8-10). The interaction with CD55 may serve cellular adhesion potentially resulting in the activation of a signal cascade mediated by the TM7 spanning CD97β subunit (11). To date, we know that CD55 plays a role as a complement deactivator in several human malignancies (12). The physiologic function of CD97 is not yet known.

Previous immunohistochemical studies showed a tissue distribution of CD97 in cells of hematopoietic origin, resting T and B cells, fetal liver, spleen, smooth muscle, dentritic cells, and peripheral macrophages (13). CD97 may be regarded as a dedifferentiation marker in nonmedullary and medullary thyroid carcinomas where we correlated aggressiveness and bad prognosis with high CD97 protein expression levels (14-16). CD97 expression was also studied in carcinoma cells of pancreatic, gastric, esophageal, and bowel cancer (17-19).

The aim of our study was to determine the expression of CD97 and CD55 in normal oral tissues and laser microdissected OSCC clusters. In a retrospective approach, we examined the CD97/CD55 expression in OSCCs of defined staging (pTNM) and grading (G1-G4). In addition, we studied the regulation of CD97 and CD55 expression of three human OSCC cell lines on incubation with the redifferentiation agents retinoic acid (RA) and sodium butyrate to address whether CD97 and CD55 may serve as dedifferentiation markers in OSCC.

To specify our analyses, we employed computer-aided UV-laser microdissection and compared the mRNA expression of microdissected carcinoma cell clusters with nonmalignant cells from the same tissue section (20). UV-laser assisted microdissection allows the dissection and catapultation of cells under direct microscopic/computerized visualization without heat transformation into the investigated tissue (21). The sterile transfer of cells into a RNA isolation reagent makes this technique comfortable for performing expression analyses of different cells from one specimen (22, 23).

This study was approved by the local university ethical committee, and all patients had given their consent. A total amount of 78 patients with primary OSCC were surgically treated between November 2000 and May 2003 at the University Department of Oral, Maxillo, and Plastic Facial Surgery, Martin-Luther-University Halle-Wittenberg. Forty-seven patients displayed lymph node metastases and distant metastases to the lung were diagnosed in four patients. Nonmalignant oral mucosa (n = 10) were obtained from patients undergoing wisdom teeth operations and served as control specimen for the normal CD97/CD55 protein distribution. All tissues had been snap frozen in liquid nitrogen immediately after removal and stored at −80°C until used. The histopathologic diagnosis was routinely determined by the Institute of Pathology and included the pTNM and the tumor grading (Table 1).

Table 1

Patient and Tumor Characteristics

No.Age/gender (m/f)LocationpTNMGrademRNA expression in % normal tissue
mRNA expression in % OSCC
Protein expression in % OSCC
CD97CD55CD97CD55CD97CD55
33/m Floor of the mouth T4N1M0 G2 33 74 167 132 76 87 
40/m Tongue T1N0M0 G2 63 114 191 34 65 
43/m Buccal mucosa T4N1M0 G3 11 78 197 173 81 97 
43/m Floor of the mouth T4N1M0 G2 44 56 186 146 79 86 
47/m Floor of the mouth T4N0M0 G1 12 72 143 189 31 81 
47/m Buccal mucosa T4N2cM0 G2 47 54 192 199 68 88 
47/m Buccal mucosa T2N1M0 G3 48 73 187 146 83 87 
47/m Upper lip T1N0M0 G1 39 74 109 134 43 64 
47/m Floor of the mouth T4N2cM0 G3 47 65 221 152 91 89 
10 48/m Floor of the mouth T3N1M0 G2 43 66 188 198 60 91 
11 49/m Floor of the mouth T4N2M1 G3 49 69 207 243 57 93 
12 51/m Buccal mucosa T4N2cM0 G2 44 76 224 138 87 94 
13 52/m Floor of the mouth T4N1M0 G2 41 71 198 156 70 82 
14 53/m Oropharynx T4N2bM0 G4 22 73 231 167 94 88 
15 55/m Soft palate T1N0M0 G1 39 63 98 151 31 64 
16 56/m Upper lip T1N0M0 G1 36 61 109 142 28 75 
17 56/m Floor of the mouth T4N1M0 G2 39 59 163 174 86 80 
18 56/m Floor of the mouth T3N1M0 G2 45 61 172 198 67 91 
19 57/m Floor of the mouth T2N0M0 G1 40 63 143 179 29 79 
20 57/m Floor of the mouth T4N0M0 G2 39 71 164 170 55 89 
21 58/m Hard palate T2N0M0 G1 33 65 139 92 61 76 
22 58/m Lower lip T1N0M0 G1 45 56 92 156 26 69 
23 58/m Floor of the mouth T2N1M0 G3 28 66 159 183 79 94 
24 59/m Floor of the mouth T2N0M0 G2 33 67 141 179 54 79 
25 60/m Floor of the mouth T4N2bM0 G2 37 45 202 191 92 82 
26 62/m Tongue T1N1M0 G3 44 68 198 127 66 69 
27 63/m Lower jaw T2N0M0 G1 43 57 129 119 36 68 
28 64/m Oropharynx T4N1M0 G3 41 73 203 187 95 62 
29 65/m Buccal mucosa T3N1M0 G2 40 69 187 183 67 70 
30 65/m Hard palate T4N0M0 G2 44 66 179 144 53 69 
31 66/m Buccal mucosa T3N1M0 G2 41 67 199 166 79 72 
32 67/m Floor of the mouth T1N2bM0 G4 34 58 241 173 77 71 
33 67/m Floor of the mouth T3N1M0 G2 38 55 181 118 82 73 
34 67/m Oropharynx T4N2M1 G3 39 59 191 194 89 88 
35 68/m Floor of the mouth T4N2M0 G2 39 61 189 187 77 84 
36 69/m Soft palate/tonsil T4N1M0 G3 45 60 199 107 88 67 
37 70/m Hard palate T1N0M0 G1 41 56 93 113 27 71 
38 70/m Upper lip T2N0M0 G1 42 63 87 156 31 89 
39 71/m Lower lip T1N0M0 G1 41 68 81 133 34 99 
40 71/m Floor of the mouth T2N1M0 G2 47 72 176 198 67 87 
41 73/m Floor of the mouth T4N1M0 G2 45 73 189 194 90 82 
42 73/m Buccal mucosa T3N1M0 G2 39 65 181 186 67 69 
43 74/m Buccal mucosa T4N1M0 G2 42 67 192 212 63 84 
44 77/m Tongue T4N2M0 G3 36 62 223 199 94 87 
45 77/m Floor of the mouth T4N1M1 G3 44 73 211 204 90 79 
46 79/m Floor of the mouth T2N0M0 G1 41 61 143 112 58 60 
47 87/m Floor of the mouth T2N1M0 G2 42 74 161 151 56 57 
48 87/m Lower lip T3N0M0 G1 40 67 153 156 49 66 
49 89/m Tongue T4N1M0 G2 48 69 182 120 67 68 
50 61/m Tongue T4N2M0 G3 31 57 204 191 92 91 
51 51/m Tongue T2N1M0 G3 42 56 199 188 91 93 
52 69/m Lower jaw T4N0M0 G1 47 55 168 178 69 70 
53 29/f Soft palate T4N1M0 G3 36 61 203 156 93 68 
54 32/f Tongue T4N1M0 G2 39 68 211 131 81 59 
55 36/f Floor of the mouth T4N1M0 G3 42 58 192 119 88 61 
56 38/f Buccal mucosa T2N0M0 G1 45 70 139 207 52 83 
57 43/f Floor of the mouth T4N1M0 G2 48 69 184 199 88 67 
58 44/f Buccal mucosa T4N2bM0 G3 33 61 224 142 96 66 
59 45/f Hard palate T1N0M0 G1 42 71 105 118 27 91 
60 45/f Floor of the mouth T1N0M0 G2 47 70 114 133 32 59 
61 47/f Upper jaw T2N0M0 G1 34 67 108 197 55 90 
62 59/f Lower lip T1N0M0 G1 38 59 111 148 29 89 
63 59/f Floor of the mouth T4N2bM0 G3 31 64 235 216 91 90 
64 64/f Lower jaw T1N0M0 G1 45 70 119 129 32 66 
65 65/f Tongue T4N0M0 G2 31 74 174 193 67 78 
66 69/f Floor of the mouth T3N1M0 G2 42 72 194 212 83 88 
67 70/f Floor of the mouth T2N1M0 G2 47 57 148 187 76 91 
68 74/f Buccal mucosa T2N0M0 G2 38 66 142 210 33 89 
69 76/f Lower lip T1N0M0 G1 34 74 122 144 30 87 
70 76/f Hard palate T4N0M0 G1 36 71 149 186 66 79 
71 77/f Tongue T4N2bM1 G3 45 65 203 139 89 78 
72 79/f Floor of the mouth T1N0M0 G1 42 71 112 156 35 60 
73 81/f Soft palate T4N1M0 G2 41 67 192 201 83 92 
74 81/f Buccal mucosa T2N0M0 G2 44 69 123 144 55 70 
75 87/f Upper jaw T1N0M0 G3 47 73 178 178 58 84 
76 87/f Buccal mucosa T2N1M0 G3 36 62 198 123 80 67 
77 92/f Hard palate T4N1M0 G1 42 65 165 158 70 81 
78 81/f Floor of the mouth T2N1M0 G2 47 69 175 156 66 87 
           
 Total (m/f) T1/T2/T3/T4 N0/N1/N2 G1/G2/G3/G4       
n 78 (52/26) 16/18/8/36 31/33/14 23/33/20/2       
No.Age/gender (m/f)LocationpTNMGrademRNA expression in % normal tissue
mRNA expression in % OSCC
Protein expression in % OSCC
CD97CD55CD97CD55CD97CD55
33/m Floor of the mouth T4N1M0 G2 33 74 167 132 76 87 
40/m Tongue T1N0M0 G2 63 114 191 34 65 
43/m Buccal mucosa T4N1M0 G3 11 78 197 173 81 97 
43/m Floor of the mouth T4N1M0 G2 44 56 186 146 79 86 
47/m Floor of the mouth T4N0M0 G1 12 72 143 189 31 81 
47/m Buccal mucosa T4N2cM0 G2 47 54 192 199 68 88 
47/m Buccal mucosa T2N1M0 G3 48 73 187 146 83 87 
47/m Upper lip T1N0M0 G1 39 74 109 134 43 64 
47/m Floor of the mouth T4N2cM0 G3 47 65 221 152 91 89 
10 48/m Floor of the mouth T3N1M0 G2 43 66 188 198 60 91 
11 49/m Floor of the mouth T4N2M1 G3 49 69 207 243 57 93 
12 51/m Buccal mucosa T4N2cM0 G2 44 76 224 138 87 94 
13 52/m Floor of the mouth T4N1M0 G2 41 71 198 156 70 82 
14 53/m Oropharynx T4N2bM0 G4 22 73 231 167 94 88 
15 55/m Soft palate T1N0M0 G1 39 63 98 151 31 64 
16 56/m Upper lip T1N0M0 G1 36 61 109 142 28 75 
17 56/m Floor of the mouth T4N1M0 G2 39 59 163 174 86 80 
18 56/m Floor of the mouth T3N1M0 G2 45 61 172 198 67 91 
19 57/m Floor of the mouth T2N0M0 G1 40 63 143 179 29 79 
20 57/m Floor of the mouth T4N0M0 G2 39 71 164 170 55 89 
21 58/m Hard palate T2N0M0 G1 33 65 139 92 61 76 
22 58/m Lower lip T1N0M0 G1 45 56 92 156 26 69 
23 58/m Floor of the mouth T2N1M0 G3 28 66 159 183 79 94 
24 59/m Floor of the mouth T2N0M0 G2 33 67 141 179 54 79 
25 60/m Floor of the mouth T4N2bM0 G2 37 45 202 191 92 82 
26 62/m Tongue T1N1M0 G3 44 68 198 127 66 69 
27 63/m Lower jaw T2N0M0 G1 43 57 129 119 36 68 
28 64/m Oropharynx T4N1M0 G3 41 73 203 187 95 62 
29 65/m Buccal mucosa T3N1M0 G2 40 69 187 183 67 70 
30 65/m Hard palate T4N0M0 G2 44 66 179 144 53 69 
31 66/m Buccal mucosa T3N1M0 G2 41 67 199 166 79 72 
32 67/m Floor of the mouth T1N2bM0 G4 34 58 241 173 77 71 
33 67/m Floor of the mouth T3N1M0 G2 38 55 181 118 82 73 
34 67/m Oropharynx T4N2M1 G3 39 59 191 194 89 88 
35 68/m Floor of the mouth T4N2M0 G2 39 61 189 187 77 84 
36 69/m Soft palate/tonsil T4N1M0 G3 45 60 199 107 88 67 
37 70/m Hard palate T1N0M0 G1 41 56 93 113 27 71 
38 70/m Upper lip T2N0M0 G1 42 63 87 156 31 89 
39 71/m Lower lip T1N0M0 G1 41 68 81 133 34 99 
40 71/m Floor of the mouth T2N1M0 G2 47 72 176 198 67 87 
41 73/m Floor of the mouth T4N1M0 G2 45 73 189 194 90 82 
42 73/m Buccal mucosa T3N1M0 G2 39 65 181 186 67 69 
43 74/m Buccal mucosa T4N1M0 G2 42 67 192 212 63 84 
44 77/m Tongue T4N2M0 G3 36 62 223 199 94 87 
45 77/m Floor of the mouth T4N1M1 G3 44 73 211 204 90 79 
46 79/m Floor of the mouth T2N0M0 G1 41 61 143 112 58 60 
47 87/m Floor of the mouth T2N1M0 G2 42 74 161 151 56 57 
48 87/m Lower lip T3N0M0 G1 40 67 153 156 49 66 
49 89/m Tongue T4N1M0 G2 48 69 182 120 67 68 
50 61/m Tongue T4N2M0 G3 31 57 204 191 92 91 
51 51/m Tongue T2N1M0 G3 42 56 199 188 91 93 
52 69/m Lower jaw T4N0M0 G1 47 55 168 178 69 70 
53 29/f Soft palate T4N1M0 G3 36 61 203 156 93 68 
54 32/f Tongue T4N1M0 G2 39 68 211 131 81 59 
55 36/f Floor of the mouth T4N1M0 G3 42 58 192 119 88 61 
56 38/f Buccal mucosa T2N0M0 G1 45 70 139 207 52 83 
57 43/f Floor of the mouth T4N1M0 G2 48 69 184 199 88 67 
58 44/f Buccal mucosa T4N2bM0 G3 33 61 224 142 96 66 
59 45/f Hard palate T1N0M0 G1 42 71 105 118 27 91 
60 45/f Floor of the mouth T1N0M0 G2 47 70 114 133 32 59 
61 47/f Upper jaw T2N0M0 G1 34 67 108 197 55 90 
62 59/f Lower lip T1N0M0 G1 38 59 111 148 29 89 
63 59/f Floor of the mouth T4N2bM0 G3 31 64 235 216 91 90 
64 64/f Lower jaw T1N0M0 G1 45 70 119 129 32 66 
65 65/f Tongue T4N0M0 G2 31 74 174 193 67 78 
66 69/f Floor of the mouth T3N1M0 G2 42 72 194 212 83 88 
67 70/f Floor of the mouth T2N1M0 G2 47 57 148 187 76 91 
68 74/f Buccal mucosa T2N0M0 G2 38 66 142 210 33 89 
69 76/f Lower lip T1N0M0 G1 34 74 122 144 30 87 
70 76/f Hard palate T4N0M0 G1 36 71 149 186 66 79 
71 77/f Tongue T4N2bM1 G3 45 65 203 139 89 78 
72 79/f Floor of the mouth T1N0M0 G1 42 71 112 156 35 60 
73 81/f Soft palate T4N1M0 G2 41 67 192 201 83 92 
74 81/f Buccal mucosa T2N0M0 G2 44 69 123 144 55 70 
75 87/f Upper jaw T1N0M0 G3 47 73 178 178 58 84 
76 87/f Buccal mucosa T2N1M0 G3 36 62 198 123 80 67 
77 92/f Hard palate T4N1M0 G1 42 65 165 158 70 81 
78 81/f Floor of the mouth T2N1M0 G2 47 69 175 156 66 87 
           
 Total (m/f) T1/T2/T3/T4 N0/N1/N2 G1/G2/G3/G4       
n 78 (52/26) 16/18/8/36 31/33/14 23/33/20/2       

Cryocuts and Laser Microdissection.

We employed the Palm Laser Pressure Catapult System and the PalmRobo 1.0 software (Palm Microlaser, Bernried, Germany) for microdissection of carcinoma cell clusters and normal cells. Frozen sections were prepared at 6 μm under RNase-free conditions using a Microm cryostat (Microm International GmbH, Walldorf, Germany). The sections were positioned on RNase-free membrane slides, which are covered with an all-side sticked polyethylene-naphtalate membrane (Palm). After fixation with 97% ethanol, all sections were stained with H&E (Sigma, Seelze, Germany). For total RNA extraction, carcinoma tissue flakes and normal cell clusters from at least 15 consecutive tissue sections were dissected and catapulted into common microfuge caps. Tissue flakes of each specimen were transferred into tubes containing 10 μL diethylpyrocarbonate-treated water and were spun down for 10 minutes at 12,000 rpm.

RNA Preparation and Reverse Transcription-PCR.

Total RNA was extracted from tissue flakes and cell lines using the Trizol reagent (WKS, Frankfurt, Germany). The cDNA synthesis was carried out with the SuperScript II kit according to the manufacturer's instructions (Invitrogen, Groningen, the Netherlands) using 1 μg total RNA. For multiplex reverse transcription-PCR (RT-PCR) analysis, specific oligonucleotide primers for CD55 (CD55 amplicon of 550 bp; sense 5′-TTCAGGCAGCTCTGTCCAGTG-3′; antisense 5′-GAGGCTGAAGTGGAAGGATCG-3′) and CD97 (CD97 amplicon of 442 bp; sense 5′-AGCTATCAGTGTCGCTGCCG-3′; antisense 5′-CTATGAGGTGCCGGACAGGT-3′) were employed. Multiplex RT-PCR was done with the housekeeping gene β-actin and specific oligonucleotide primers were designed. A specific β-actin amplicon served as an internal control for CD97 (β-actin amplicon of 608 bp; sense 5′-GCTGGAAGTGGACAGCGA-3′, antisense 5′-GGCATCGTGATGGACTCCG-3′) and for CD55 (β-actin amplicon of 810 bp; sense 5′-ATCTGGCACCACACCTTCTACAATGAGCTGCG-3′; 5′-CGTCATACTCCTGCTTGCTGATCCACATCTGC-3′).

All PCR products were separated on a 1% low melting point agarose gel, purified by magic column extraction, and cloned into the pGEM-T vector (Promega, Heidelberg, Germany). Sequence analysis of the PCR-amplified cDNA clones was done employing the Thermo Sequenase dye terminator cycle sequencing kit (Amersham Biosystem, Freiburg, Germany) employing T7 and SP6 sequencing primers for bidirectional sequencing of the cloned amplicons.

For multiplex RT-PCR, 2 μL cDNA and 10 pmol/L specific sense and antisense primers, respectively, were incubated with TaqGold (Amersham Biosystem). After an initial denaturation for 10 minutes at 95°C, 35 cycles followed with 1-minute denaturation at 95°C, 1-minute annealing at 67°C (CD97) or 57°C (CD55), and 2-minute elongation at 72°C. After a final elongation step for 10 minutes at 72°C, 20 μL of the PCR products were loaded on a 1% agarose gel containing ethidium bromide for visualization of amplicons. All gels containing PCR amplicons were scanned with the Kodak Image System 440cf and electronically evaluated with the Kodak Digital Science 1D software (Eastman Kodak, New Heaven, CT). The analysis of CD55 and CD97 gene expression was done using the comparative and semiquantitative options of the Kodak Digital Science 1D software, which allows the user to compare the gray scales of the scanned amplicons in relation to the positive control (100% reference point). Human pharyngeal tonsil tissue was used as positive control for CD55, whereas the colon carcinoma cell line CaCo was employed as a positive control for CD97. The expression levels of all investigated specimens were determined in comparison with the band intensity of the positive control (0-25%, no expression; 25-50%, low expression; 50-75%, moderate expression; ≥75%, high expression).

Real-time RT-PCR.

For quantification,1.5 μL of the reverse transcriptase reaction mixture was added to 25 μL reaction mixture consisting of 1× AmpliTaq Gold reaction buffer, 1.5 units AmpliTaq Gold, 0.2× SYBR Green (Biozym, Hess. Oldendorf, Germany), 200 μmol/L of each deoxynucleotide triphosphate, and 0.5 μmol/L each of specific primers. A negative control without template was included. Target cDNAs were run in triplicates in a RG2000 cycler (LTF, Wasserburg, Germany). Initial denaturation at 95°C for 10 minutes was followed by 40 cycles with denaturation at 95°C for 15 seconds, annealing at 67°C for 30 seconds, and elongation at 72°C for 20 seconds. The fluorescence intensity of the double-strand–specific SYBR Green, reflecting the amount of formed amplicon, was read after each elongation step at 82°C using the Rotor-Gene 4.6 software. For verification of the PCR products, melt curves were generated. Relative quantification of CD97 and CD55 gene expression was done using the comparative quantification technique of the Rotor-Gene 4.6 software. This technique allows the user to compare differently treated cells with an unstimulated control. The second derivative of the raw data is taken to calculate the takeoff point. Based on the takeoff point and the reaction efficiency, it calculates the relative concentration of each sample compared with the control sample.

Cell Culture and Treatments.

The three OSCC cell lines Cal27, Cal33, and BHY were purchased from the German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany; refs. (24, 25). The BHY cells were derived from a G1 OSCC. Cal33 cells were obtained from a G2 OSCC, and the Cal27 cell line was established from a G3 carcinoma. All three cell lines were cultured in Ham's F12 medium (Invitrogen) containing 10% FCS.

After the cells reached subconfluent mononlayers, stimulation experiments were carried out with or without 10μmol/L RA or 3 mmol/L sodium butyrate for 72 hours (Fa. Roth, Germany). Untreated cells served as controls (K0). We determined the effects of RA and sodium butyrate on CD97/CD55 transcription by real-time RT-PCR. For immunocytochemistry, 1 × 105 cells were directly cultured on UV-sterilized Superfrost slides (Menzel-Gläser, Braunschweig, Germany) and stimulated with RA or sodium butyrate.

Before this study, several experiments with different sodium butyrate and RA doses were done. Sodium butyrate was used in concentration ranging from 1 to 10 mmol/L. A concentration <2 mmol/L was too weak to evoke any significant effect on the transcription and translation level. Concentrations >5 mmol/L were toxic and strongly affected the viability of the cells. This effect resulted in a rapid cell death and a loss of >80% of the population after 72 hours. Doses <1 μmol/L RA were proven to be an ineffective redifferentiation substance for the oral malignant cells used in this study, and we started investigating the effect of higher doses: 10 μmol/L was found to be the most effective RA concentration. Low-dose RA, such as 0.1 μmol/L, enhanced the cell growth.

Immunostaining and Evaluation.

Cryostat sections were mounted on Superfrost slides and endogenous peroxidase was blocked in a mixture of 97% ice-cold methanol and 3%H2O2 for 20 minutes. All samples were incubated for 15 minutes with normal swine serum diluted 1:4 in PBS containing 1% bovine serum albumin to suppress nonspecific bindings (DAKO, Hamburg, Germany).

Tissue sections were separately incubated for 1 hour at 37°C with monoclonal antibodies against CD55 (clone 143-30, BD Biosciences, Heidelberg, Germany) and CD97 (MEM180, Biermann, Germany) at dilutions of 1:100, respectively. After washing in PBS, the samples were incubated for 30 minutes with a 1:1,000 dilution of biotinylated goat anti-mouse secondary antibody (DAKO). Detection of immunoreactive CD55 and CD97 was accomplished by using the avidin-biotin complex method. A 15% solution of 3,3′-diaminobenzidine (DAKO) was used as chromogen. For a negative control and to determine nonspecific staining, the primary antibody was replaced with a nonimmune. Tissue sections from an anaplastic thyroid carcinoma, known for strong CD97/CD55 expression, were used as positive controls. All sections were examined by three independent investigators who were blinded to the histologic diagnosis (A.E., M.K., and J.S.).

We employed the planimetric measurement features of the PalmRobo software to determine the immunostaining intensity. This software allows the user to encircle cell areas for calculation (μm2). The sum of all immunopositive cell squares (μm2) was calculated and compared with the total section area (100%). The level of staining intensity was classified into four groups (0-25%, no expression; 25-50%, low expression; 50-75%, moderate expression; 75-100%, high expression).

Flow Cytometry.

Stimulated and unstimulated cells were detached from culture flasks using Accutase (PAA,Linz, Austria). After two cold washes, standard surface membrane immunofluorescence techniques were used. Cells were stained with monoclonal antibodies against CD97 (MEM180) and CD55 (clone 143-30) or an isotype control at 4°C for 40 minutes. After two cold washes containing sodium azide, cells were labeled with FITC (CD97)–conjugated and phycoerythrin (CD55)–conjugated secondary antibody (goat anti-mouse IgG, Dianova, Hamburg, Germany) at 4°C for 30 minutes and washed. Paraformaldehyde (1%) was used for fixation. The fluorescence was analyzed in a FACScan flow cytometer (Becton Dickinson, Heidelberg, Germany). Ten thousand cells were counted and the results were analyzed with the Lysis II software (Becton Dickinson). Unstimulated cells served as control.

Statistical Analysis.

All PCR reactions were carried out thrice for calculation of SD. The t test features of the SPSS 10.0 software were employed to calculate for statistical significance. Ps < 0.05 were considered to be statistically significant.

OSCC carcinoma cell clusters were successfully dissected and catapulted into diethylpyrocarbonate-treated common microfuge caps (Fig. 1A-C).

Figure 1.

A. Computer-aided microdissection of interactively encircled carcinoma areas were done with the PalmRobo software (×20). B. Nothing remains in the dissected area after ejection of the flake from the object plane (×20). C. The flake can be seen in the cap to check the successful dissection (×10).

Figure 1.

A. Computer-aided microdissection of interactively encircled carcinoma areas were done with the PalmRobo software (×20). B. Nothing remains in the dissected area after ejection of the flake from the object plane (×20). C. The flake can be seen in the cap to check the successful dissection (×10).

Close modal

Nonmalignant oral epithelial cells revealed specific amplicons for CD97 at 442 bp and expression levels were <50% of the positive control as determined by multiplex RT-PCR (Fig. 2A). By contrast, significantly stronger CD97 transcripts were detected in all 78 OSCC tissue specimens (Figs. 2B and 3A). CD97 gene activity correlated inversely with the histopathologic stage of the tumors. CD97 transcriptional activity was increased in advanced stages of OSCC with pathologic evidence of lymph node metastasis but weak in pT1/T2 tumors with exclusive intraoral growth (Fig. 3B and C). Highest CD97 transcription levels were detected in tumor specimens obtained from patients with N2 lymph node status. G3/G4 carcinomas revealed significantly stronger CD97 transcripts than G1/G2 tumors (Fig. 3D).

Figure 2.

A and B. Example of multiplex RT-PCR on CD97 and the housekeeping gene β-actin in normal oral mucosa (N) and OSCC tissues. CD97 mRNA expression was lower in normal oral mucosa than in tumor tissues. C and D. Example of multiplex RT-PCR on CD55 and β-actin. CD55 mRNA expression was significantly lower in normal oral mucosa, but OSCC revealed strong amplicons.

Figure 2.

A and B. Example of multiplex RT-PCR on CD97 and the housekeeping gene β-actin in normal oral mucosa (N) and OSCC tissues. CD97 mRNA expression was lower in normal oral mucosa than in tumor tissues. C and D. Example of multiplex RT-PCR on CD55 and β-actin. CD55 mRNA expression was significantly lower in normal oral mucosa, but OSCC revealed strong amplicons.

Close modal
Figure 3.

A. CD97 mRNA was observed in normal oral mucosa in a significant weak manner (P < 0.05) compared with OSCC tissues. B. pT3/pT3/T4 tumors expressed CD97 mRNA stronger than pT1/T2 lesions. C. Higher CD97 transcription rates were observed in tumors featuring N1/N2 status. D. CD97 mRNA was highly expressed in poorly differentiated and un-dedifferentiated lesions, whereas G1/G2 tumors revealed lower CD97 mRNA levels. E. CD55 expression was high in OSCC tissues and significantly lower (P < 0.05) in normal oral mucosa. F. As shown as an example for the relation between pT and CD55 expression, no significant differences between the pTNM grading and the CD55 transcripts were found.

Figure 3.

A. CD97 mRNA was observed in normal oral mucosa in a significant weak manner (P < 0.05) compared with OSCC tissues. B. pT3/pT3/T4 tumors expressed CD97 mRNA stronger than pT1/T2 lesions. C. Higher CD97 transcription rates were observed in tumors featuring N1/N2 status. D. CD97 mRNA was highly expressed in poorly differentiated and un-dedifferentiated lesions, whereas G1/G2 tumors revealed lower CD97 mRNA levels. E. CD55 expression was high in OSCC tissues and significantly lower (P < 0.05) in normal oral mucosa. F. As shown as an example for the relation between pT and CD55 expression, no significant differences between the pTNM grading and the CD55 transcripts were found.

Close modal

Specific CD55 amplicons at 562 bp were detected in normal microdissected oral mucosa and in all OSCCs (Fig. 2C and D). CD55 mRNA expression was significantly lower (P < 0.05) in nonmalignant cells (<75% of the positive control) than in OSCC (Fig. 3E). As shown in Fig. 3F, for example, we could not correlate any of the pTNM variables with the CD55 mRNA expression in OSCC. All investigated carcinoma specimens revealed strong CD55 transcripts irrespective of the stage and grade.

The nonmalignant oral mucosal specimens showed a CD97 immunostaining, which was clearly restricted to the basal epithelial layer (Fig. 4). All OSCC specimens produced CD97 but in varying amounts. CD97 staining was weak in 19, moderate in 27, and strong in 32 OSCCs. CD97 immunostaining was in the cytoplasm and on the cell membrane of OSCC cells. As shown in Fig. 5A, carcinoma cell areas were significantly stronger stained than the surrounding tissue. A strong marginal brown 3,3′-diaminobenzidine staining was found around carcinoma cell clusters (Fig. 5B). We observed significant differences (P < 0.05) in the CD97 immunostaining between pT1/T2 and pT3/T4 carcinomas (Fig. 6A). OSCC classified as pT1/T2 lesions and highly differentiated tumors (G1) were weakly stained (Fig. 5C). Specimens obtained from G2 and G3/G4 OSCC or from tumors with lymph node infiltration or distant metastases displayed significantly stronger CD97 immunostaining (Figs. 5D and 6B and C). We could not find any significant difference in the CD97 staining intensity between G3 and G4 lesions (Fig. 6C).

Figure 4.

The basal epithelial layer of the normal oral mucosa is exclusively stained for CD97 (×20). All other epithelial layers and subepithelial areas are devoid of CD97 immunostaining.

Figure 4.

The basal epithelial layer of the normal oral mucosa is exclusively stained for CD97 (×20). All other epithelial layers and subepithelial areas are devoid of CD97 immunostaining.

Close modal
Figure 5.

A. Tissue obtained from patient 3, strong brown CD97 immunostaining clearly marks the malignant cells, whereas the nonmalignant stromal cells and bystanders are weakly positive or reveal unspecific staining (×10). B. Tissue obtained from patient 4, strong CD97 immunostaining was detected around tumor cell clusters and on malignant cells (×10). C. Tissue obtained from patient 15, T1N0M0 carcinoma with G1 grading was weakly positive and CD97 immunostaining was detected on a few cells only (×40). D. By contrast, highly malignant G3 tumors, such as obtained from patient 11, with multiple lymph node and distant metastases revealed strong CD97 expression and the immunostaining was detected in almost all cellular compartments of the OSCC cells (×40).

Figure 5.

A. Tissue obtained from patient 3, strong brown CD97 immunostaining clearly marks the malignant cells, whereas the nonmalignant stromal cells and bystanders are weakly positive or reveal unspecific staining (×10). B. Tissue obtained from patient 4, strong CD97 immunostaining was detected around tumor cell clusters and on malignant cells (×10). C. Tissue obtained from patient 15, T1N0M0 carcinoma with G1 grading was weakly positive and CD97 immunostaining was detected on a few cells only (×40). D. By contrast, highly malignant G3 tumors, such as obtained from patient 11, with multiple lymph node and distant metastases revealed strong CD97 expression and the immunostaining was detected in almost all cellular compartments of the OSCC cells (×40).

Close modal
Figure 6.

A. Statistical data show that CD97 protein is significantly stronger expressed in pT3/T4 tumors (P < 0.05) than in pT1/T2. B and C. The aggressive behavior of OSCC reflects in strong CD97 protein expression levels in N1/N2 and G3/G4 carcinomas, whereas N0 and G1/G2 were found to express significantly lower (P < 0.05) amounts of CD97 protein.

Figure 6.

A. Statistical data show that CD97 protein is significantly stronger expressed in pT3/T4 tumors (P < 0.05) than in pT1/T2. B and C. The aggressive behavior of OSCC reflects in strong CD97 protein expression levels in N1/N2 and G3/G4 carcinomas, whereas N0 and G1/G2 were found to express significantly lower (P < 0.05) amounts of CD97 protein.

Close modal

OSCC were strongly stained for CD55 protein (Fig.7A). OSCC cell clusters were intensively stained. Exclusive strong brown CD55 immunostaining was detected on malignant cells (Fig. 7B) and adjacent cells were CD55 weakly positive or negative. We did not find any significant differences between the expression of CD55 mRNA/CD55 protein and the staging/grading classification in OSCC.

Figure 7.

A. Strong CD55 immunostaining on OSCC carcinoma cells (×10). B. In comparison with the surrounding stroma, CD55 is exclusively expressed on malignant cells and the protein is detectable in all cellular compartments of carcinoma cells (×40).

Figure 7.

A. Strong CD55 immunostaining on OSCC carcinoma cells (×10). B. In comparison with the surrounding stroma, CD55 is exclusively expressed on malignant cells and the protein is detectable in all cellular compartments of carcinoma cells (×40).

Close modal

Effects of Sodium Butyrate and RA on the CD97 and CD55 Expression in Three OSCC Cell Lines.

The three OSCC cell lines Cal27, Cal33, and BHY expressed CD97 mRNA under basal cell culture conditions. As determined by real-time RT-PCR, RA inhibited the CD97 mRNA expression in Cal27 (−37%) and Cal33 (−31%) significantly (Fig. 8A). By contrast, the CD97 transcription rate increased in the highly differentiated cell line BHY (+28%) under the influence of RA (Fig. 8B).

Figure 8.

A. Real-time RT-PCR results for cell line Cal27 after RA stimulation shows the down-regulation of CD97 mRNA after 72 hours of treatment. B. By contrast, the cell line BHY responds different to RA treatment by up-regulation of CD97 mRNA. C. Take Cal27 data as an example, sodium butyrate classified as a strong inhibitor for CD97 transcripts and a down-regulation was observed in all three cell lines.

Figure 8.

A. Real-time RT-PCR results for cell line Cal27 after RA stimulation shows the down-regulation of CD97 mRNA after 72 hours of treatment. B. By contrast, the cell line BHY responds different to RA treatment by up-regulation of CD97 mRNA. C. Take Cal27 data as an example, sodium butyrate classified as a strong inhibitor for CD97 transcripts and a down-regulation was observed in all three cell lines.

Close modal

Sodium butyrate inhibited CD97 mRNA in all three cell lines significantly (Fig. 7C). The strongest inhibition of CD97 mRNA occurred in Cal27 (−38%).

Under basal cell culture conditions, all three cell lines revealed strong CD97 immunostaining (Fig. 9A). Significant differences were found in the CD97 immunostaining and CD97 flow cytometry analysis after RA and sodium butyrate treatment. Morphologic changes were not observed neither <10 μmol/L RA nor <3 mmol/L sodium butyrate treatment.

Figure 9.

A. Unstimulated Cal27 cells expressed CD97 strong. CD97 was detectable in the cytoplasm and on the plasma membrane (×20). B. Only a cytoplasmic CD97 immunostaining was observed under the influence of RA treatment (×20). C. Sodium butyrate (SB) treatment had the strongest effect on the CD97 protein expression resulting in a thin brown staining around the nucleus leaving wide areas of the cytoplasm unstained and no membrane bound protein was detectable (×20). D. All cell lines expressed CD55 strong (×20).

Figure 9.

A. Unstimulated Cal27 cells expressed CD97 strong. CD97 was detectable in the cytoplasm and on the plasma membrane (×20). B. Only a cytoplasmic CD97 immunostaining was observed under the influence of RA treatment (×20). C. Sodium butyrate (SB) treatment had the strongest effect on the CD97 protein expression resulting in a thin brown staining around the nucleus leaving wide areas of the cytoplasm unstained and no membrane bound protein was detectable (×20). D. All cell lines expressed CD55 strong (×20).

Close modal

Interestingly, under RA treatment, a weaker CD97 immunostaining was observed in the cytoplasm of Cal27 and Cal33 cells and no 3,3′-diaminobenzidine staining was detectable on the plasma membrane (Fig. 9B). By contrast, BHY cells revealed stronger CD97 immunostaining. Flow cytometry revealed significant CD97 down-regulation in Cal27 and Cal33 after 72 hours (Fig. 10A). We determined a down-regulation of >50%for both cell lines. By contrast, BHY cells showed an immense increase of >100% on stimulation with RA (Fig. 10B).

Figure 10.

Flow cytometry results. A. CD97 expression is down-regulated in Cal27 on RA treatment. B. By contrast, BHY cells express more CD97 and a increase of >100% was observed after 72 hours. Sodium butyrate was an effective inhibitor in all three cell lines. C. As shown for Cal27, flow cytometry revealed a significant down-regulation of CD97 during the treatment period.

Figure 10.

Flow cytometry results. A. CD97 expression is down-regulated in Cal27 on RA treatment. B. By contrast, BHY cells express more CD97 and a increase of >100% was observed after 72 hours. Sodium butyrate was an effective inhibitor in all three cell lines. C. As shown for Cal27, flow cytometry revealed a significant down-regulation of CD97 during the treatment period.

Close modal

Sodium butyrate decreased the CD97 protein expression in all three cell lines, and changes occurred in the cellular distribution of CD97 as determined by immunocytochemistry. We did only observe a thin brown 3,3′-diaminobenzidine staining in the cytoplasmic area around the nucleus of sodium butyrate–treated cells, but no membrane bound CD97 immunostaining was detectable (Fig. 9C). Flow cytometry confirmed the immunocytochemistry, and all cell lines revealed significant CD97 down-regulation. Flow cytometry showed that sodium butyrate had the strongest inhibitory effect and the fluorescence intensity was significantly weaker than in the unstimulated control (Fig. 10C).

CD55 mRNA was expressed in all three unstimulated cell lines. RA and sodium butyrate evoked an up-regulation of CD55 mRNA in all cell lines and a strong brown 3,3′-diaminobenzidine staining was detected in the cytoplasm and on the plasma membrane of the carcinoma cells (Fig. 9D). As determined by flow cytometry, the fluorescence intensity increased on RA and sodium butyrate treatment, but we could not find any significant differences among 24, 48, and 72 hours.

We identified CD97 as a specific product in all OSCC. By contrast, CD97 was restricted to the basal cell layer of the oral mucosa, implicating this TM7 protein to be a novel specific marker in dedifferentiated human OSCC. CD97 belongs to an expression profile of several human malignancies. We have shown previously that CD97 serves as a dedifferentiation marker in thyroid carcinomas (14-16). Anaplastic thyroid carcinomas and dedifferentiated C-cell carcinomas displayed significantly stronger CD97 immunostaining compared with the more differentiated tumors of the thyroid. Redifferentiation therapy of the human thyroid carcinoma cell line (FTC-133) with RA caused an inhibition of CD97 (15, 26). Furthermore, a close correlation between the stage of differentiation and the CD97 expression was also shown in several colon carcinoma cell lines (19).

In this present study, we observed a strong expression of CD97 in OSCC obtained from patients with lymph node and/or distant metastases. Scattered cell clusters are features of unsolid tumor growth and dedifferentiation. We could show that a significant higher expression of CD97 is detectable in those OSCC with a dedifferentiated histopathologic character (G3/G4). The presence of an very aggressive phenotype and lymph node infiltration coincided with strong CD97 immunostaining. By contrast, patients with OSCC and weak CD97 protein expression are devoid of lymph node metastases and should have better prognosis. We also observed a strong CD97 immunostaining around carcinoma cell clusters. We could not confirm the results of previous research reports where it was postulated that CD97 is significantly stronger expressed at invasion fronts of squamous cell carcinomas (17). Only a limited number of esophageal squamous cell carcinomas (n = 13) with no information regarding the pTNM, histotype, and tumor location were investigated, and this leads to misinterpretation of data obtained from a usually very common type of carcinoma (17). By contrast, our immunostainings show that CD97 is expressed in OSCC cells irrespective of their location.

All investigated OSCC tissues were found to be CD55 immunopositive. Previously, the role of CD55 as a target for cancer vaccines in gastric and colon carcinomas was discussed (27). The absence of a differential production of CD55, irrespective of the stage, grade, and level of immunoreactive CD97 by OSCC cells, indicates a role for CD97 as the regulatory element. Thus, we speculate that strong interactions of CD97 and CD55 may facilitate adhesion of carcinoma cells to surrounding surfaces or blood vessel walls and will result in tumor cell spread.

In the present study, we also show the down-regulation of CD97 by RA and sodium butyrate in three OSSC cell lines. Our data show different responses to RA treatment and a significant CD97 inhibition occurred in two of three cell lines. We conclude that the redifferentiation effect of RA inhibits or stimulates the expression of CD97 and that carcinoma cells respond to RA differently. The unexpected effect of proliferation instead of antiproliferation was recently shown with the help of cell line BHY, which became more aggressive under the influence of low-dose RA (28). The article reports the effects of 1, 0.1, and 0.01 μmol/L RA doses on BHY cells. Cell growth, Matrigel invasion assay, and expression of RA receptors were investigated. All-trans RA and 13-cis RA inhibited the growth of the cells. Interestingly, low-dose RAs enhanced the activity of tissue-type plasminogen activator and activated pro-matrix metallo proteinases. Furthermore, BHY cells expressed all RA receptors and became more aggressive and invasive under the influence of 0.1 and 0.01 μmol/L RA. The results of Uchida et al. indicate that RA, depending on the dose, enhances or inhibits the in vitro invasiveness of OSCC cells via an activation of pro-MMP2 and pro-MMP9. The authors speculated that the RA receptor expression could be one reason why low-dose RA treatment induces proliferation and not antiproliferation (28). Similar to this, we know that physiologic concentrations of RA enhance migration, invasion, and differentiation of normal embryonal cells. The changes in the CD97 expression in all three cell lines suggest that RA might not only be suitable for the redifferentiation of OSCC cells but also be the reason for therapy failures (29).

CD97 was significantly inhibited in all three cell lines by sodium butyrate. This effect of sodium butyrate on the expression of CD97 in the colon carcinoma cell line CaCo is well known (19). Sodium butyrate was tested as a redifferentiation substance in human colon cancer (30). Our data suggest that sodium butyrate may regulate the CD97 transcriptional activity. We know that the induction and activation of expression profiles by sodium butyrate is accompanied by phosphorylation of proteins between 37 and 97 kDa, which is exactly the molecular weight range where CD97 and its isoforms (75-90 kDa) are detectable (31). It may be possible that neoplastic cells treated with sodium butyrate are induced to restore a proapoptotic/apoptotic expression profile, which on one hand results in an inhibition of CD97.

CD97 and CD55 receptor-ligand interactions and adhesive potentials have been described for lymphocytes. Latest data show a possible involvement of CD97-CD55 interaction in leukocyte passaging through the blood-brain border in multiple sclerosis (32).

Published research reports discussed the adhesive potentials of the CD97-CD55 interaction and presented controversial results (33). The idea that this protein-protein interaction is involved in tumor cell spread can be supported and explained by the increased incidence of metastasis in OSCC or thyroid cancer with strong CD97 immunostaining. Whereas these cellular responses are possibly mediated via the TM7 receptor domain of CD97, alternative signaling pathways are likely functional to counteract increased cell death but instead promote clonal expansion and tumor cell invasion. More recently, it was postulated that chondroitin sulfate glycosaminoglycans were identified as ligands for the largest CD97 isoform (34). There is yet no evidence that this interaction of chondroitin sulfate glycosaminoglycans with CD97 could play a role in vivo. Furthermore, it is highly speculative whether the binding to glycosaminoglycans may facilitate adhesion due to lytic activities of tumor cells. No data on the possible involvement of this interaction in pathologic processes are available.

The structure of CD97 is suitable for hormone recognition, hormone binding, and signal transduction. CD97 shares structural similarities with other G-protein-coupled receptors, such as the thyrotropin receptor or the calcitonin receptor (35). Up-regulation or expression of proteins with similar systematic and structural characteristics attracting considerable interest regarding shifted signal transduction features in cancer.

CD97 is expressed in normal basal epithelial cells, which can be seen as progenitor cells. Thus, CD97 must be important for both normal epithelial stem cells and OSCC cells with unchecked growth and aggressive character. Shifting the molecular balance toward an overrepresentation of the EGF-TM7 protein CD97 in OSCC may be regarded as an important contribution to dislodgment and migration of carcinoma cells during the process of invasion and tumor cell spread.

The still unknown function of CD97 might be cleared in future experiments eventually through small interfering RNA gene silencing and inhibition of CD97 transcriptional activities via the modulation of the AU-rich motive of CD97. Methods employing monoclonal antibodies to target CD97 EGF-like domains and to modulate or modify the binding affinities of CD97 are difficult to interpret. Antibodies induce changes in the proteome, which may evoke shifts toward a more aggressive cellular character.

Taken our data together, we complete previous results on the involvement, distribution, and regulation of CD55 and CD97 in human cancer. For the first time, we have identified CD97 as a marker, which is strongly and exclusively up-regulated in dedifferentiated human OSCC.

Grant support:Pinguin stiftung (Düsseldorf, Germany).

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

We thank Kathrin Hammje, Anja Winkler, and Ilka Mannich for excellent technical support; Wenke Stanarius (College of St. Marks and St. John, Plymouth, United Kingdom) for critical help with the article; and Dr. Edgar Spens (Zentrum für ZMK, Martin-Luther-University, Halle, Germany) for the superb and interesting discussion.

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