Abstract
Background
The immunoglobulin-like glycoprotein CD226 (DNAX accessory molecule-1) represents receptor-activating cytotoxic T lymphocyte and natural killer cells taking part in tumor surveillance, the pathogenesis of inflammation, and autoimmune disorders. The aim of the present study is to analyze the association between polymorphisms rs763361 and rs727088 in the CD226 gene and their impact on the pathogenesis of non-small-cell lung cancer (NSCLC).
Materials and methods
Polymerase chain reaction (PCR)-restriction fragment length polymorphisms (RFLP) were used to genotype the single nucleotide polymorphisms (SNPs) rs763361 and rs727088 of the CD226 gene in 302 NSCLC patients and 389 ethnicity matched healthy controls.
Results
The frequencies of the T allele and TT genotype of rs763361 (T allele odds ratio [OR] 1.42, 95% confidence interval [CI] 1.14–1.77; TT genotype OR 2.73, 95% CI 1.70–4.39), as well as the G allele and GG genotype of rs727088 (G allele OR 1.89, 95% CI 1.50–2.39; GG genotype OR 4.62, 95% CI 2.31–9.20) in the NSCLC patients were significantly higher than that of normal controls, indicating that both of these two SNPs as risk factors were associated with NSCLC (P<0.05). Results of stratified analysis revealed that the polymorphism of rs727088 was associated with lymph node invasion and clinical stage cancer (P<0.05). However, there was no association between SNP rs763361 and clinical characteristics.
Conclusion
Our results demonstrated that CD226 gene polymorphisms (T allele of rs763361 and G allele of rs727088) as risk factors were associated with NSCLC.
Keywords: CD226, NSCLC, polymorphism, DNAX
Introduction
Non-small-cell lung cancer (NSCLC) accounts for 80% of all lung cancers and is a leading cause of cancer mortality worldwide.1,2 Tobacco smoking is the most well-established risk factor for lung cancer. Another important risk factor is environmental exposure to chemical carcinogens or occupational carcinogens. Moreover, genetic factors also play a crucial role in the pathogenesis of NSCLC.1,2
CD226, also known as DNAX accessory molecule 1 (DNAX1) or platelet and T cell antigen 1, is a transmembrane glycoprotein belonging to the immunoglobulin superfamily and contains two IG-like domains in its extracellular portion. It is highly conserved among humans, gibbons, monkeys, and mice, and its gene has been mapped to human chromosome 18.3–6 In humans, CD226 is expressed on the majority of natural killer (NK) cells, T cells, and monocytes, and on a small subset of B cells.5
Recently, rs763361 (C/T polymorphism), the non-synonymous (Gly307Ser) coding variant that is located at 18q22.3 in the CD226 gene, was first correlated to type 1 diabetes susceptibility, and has been shown to be associated with multiple autoimmune diseases and systemic sclerosis (SSc).7,8 In addition, the rs763361 glycine-to-serine substitution could interfere in the phosphorylation of CD226 at 322Tyr and 329Ser residues, and may modulate the downstream signaling pathway via these posttranslational modifications.9,10 Furthermore, a three-variant haplotype in CD226 gene (rs763361-rs34794968-rs727088) was found to be associated with systemic lupus erythematosus in recent research, and the authors suggested that rs727088 may be the single nucleotide polymorphism (SNP) with a functional influence on CD226 transcription levels.11 Another study performed on SSc subjects proposed that genetic variants, including CD226 rs763361, rs727088, and rs3479968 did not influence SSc susceptibility, but that a CD226 three-variant haplotype did cause genetic predisposition to SSc-related pulmonary fibrosis.12 Additionally, two earlier studies reported that CD226 polymorphism was associated with susceptibility to gastric cancer and cervical squamous cell carcinoma.13,14
Considering the important role of CD226 and its ligands in diseases, it is necessary to investigate whether CD226 is a candidate susceptible gene to cancers. However, to our knowledge, there is no report about the relationship between CD226 polymorphisms and lung cancer. Therefore, in the present study, we attempted to clarify the association between CD226 gene polymorphisms (rs763361 and rs727088) and NSCLC, and we have found that CD226 gene polymorphisms (rs763361 and rs727088) are associated with NSCLC.
Materials and methods
Study subjects
A total of 302 unrelated Chinese patients with NSCLC were recruited from the West China First University Hospital, Sichuan University from January 2010 to January 2012. The patients (age, mean ± standard deviation [SD], 60.29±10.11 years; male/female ratio, 216/86) consisted of 138 adenocar-cinomas, 138 squamous cell carcinomas, and 26 other types of cancer, including adenosquamous carcinomas and large-cell carcinomas. All patients were adjuvant therapy-free. The control group consisted of 389 healthy subjects (age, mean ± SD, 61.71±12.14 years; male/female ratio, 278/111) from a routine health survey in the same hospital. Control subjects were genetically unrelated and without any personal or family history of cancer or other serious disease. The diagnosis of NSCLC was confirmed by histological examination of tissues from biopsy. Data on stages were presented according to the International Union Against Cancer’s tumor node metastasis system, and differentiation and histological type were measured according to the World Health Organization classification for NSCLC.15 The study design and procedure were approved by the institutional review board of West China Hospital, and all patients completed a written informed consent before enrollment.
Determination of genotypes
Genomic DNA of each subject was extracted from 200 μL ethylenediaminetetraacetic acid (EDTA)-anticoagulated peripheral blood samples with a DNA isolation kit from BioTeke Corporation (Peking, People’s Republic of China), and the procedure was performed according to the manufacturer’s instructions. The primers were established with the primer-introduced restriction analysis (PIRA) polymerase chain reaction (PCR) designer (http://primer1.soton.ac.uk/primer2.html). The rs763361 primers, which were used for amplification, were 5′-TTTGGTCTGCGAGAGAAGGT-3′ and 5′-TGCCTGCATTTATGAGAGGT-3′, and the primers used for amplification of the rs727088 were 5′-TCCCTCCCAAATTTCTACCC-3′ and 5′-CCATCCCAGGTCTAGCCTTA-3′.
The PCR reactions were performed in a total volume of 25 μL, composed of 2.5 μL 10× PCR buffer, 1.5 mmol/L of MgCl2, 0.15 mmol/L of deoxyribonucleotide triphosphates, 0.5 μmol/L of each primer, 100 ng of genomic DNA, and 1 U of Taq DNA polymerase. The PCR conditions for both SNPs were 94°C for 4 minutes, followed by 32 cycles of 30 seconds at 94°C, 30 seconds at 62°C, and 30 seconds at 72°C, with a final elongation at 72°C for 10 minutes. PCR products were digested overnight with specific restriction enzymes (Msp I for rs763361 and Bcc I for rs727088), were then separated with a 6% polyacrylamide gel, and were stained with 1.5 g/L of argent nitrate. For the rs763361 polymorphism, allele C was divided into two fragments of 79 bp and 126 bp; allele T was uncuttable, and the fragment was 205 bp; for the rs727088 polymorphism, allele A was cuttable, yielding two fragments of 31 bp and 208 bp; allele G was uncuttable, and the fragment was 239 bp. The genotypes were confirmed by the DNA sequencing analysis (BigDye® Terminator v3.1 Cycle Sequencing Kit; Thermo Fisher Scientific, Waltham, MA, USA). Approximately 20% of the samples were randomly selected to perform the repeated assays, and the results were 100% concordant.
Statistical analysis
Genotype and allele frequencies of the two SNPs were calculated by directed counting. The chi-square test was used to compare the genotype and allele frequencies between two groups and to evaluate the Hardy–Weinberg equilibrium. Odds ratios (OR) and respective 95% confidence intervals (95% CIs) were reported to evaluate the effects of any difference between alleles and genotypes. Data analyses and summarizations were conducted using SPSS 17.0 for Windows (SPSS Inc, Chicago, IL, USA). Values of P<0.05 (2-sided) were considered to be statistically significant. The study power was calculated by using the Quanto 1.1.1 program (http://hydra.usc.edu/gxe).
Results
Comparison of CD226 gene polymorphism between patients and controls
The two CD226 SNPs were successfully genotyped in 302 NSCLC patients and 389 control subjects. The genotype distributions for SNP rs763361 and SNP rs727088 were in Hardy–Weinberg equilibrium (P≥0.05) in both patients and controls. Three genotypes of both SNPs were identified, and the genotypes were confirmed by DNA sequencing analysis. Allele and genotype frequencies of these two SNPs were calculated and are summarized in Table 1. As shown in Table 1, significantly increased NSCLC risk was found to be associated with the T allele of SNP rs763361 (P=0.001; OR =1.42; 95% CI =1.14–1.77), and with the G allele of SNP rs727088 (P<0.001; OR =1.89; 95% CI =1.50–2.39).
Table 1.
Genotype and allele distribution of two single-nucleotide polymorphism loci in patients with non-small-cell lung cancer and normal controls
| SNP genotype/allele | Patients n=302 (%) | Controls n=389 (%) | P-value | OR (95% CI) |
|---|---|---|---|---|
| rs763361 genotype | ||||
| CC | 84 (27.8) | 151 (38.8) | Ref | Ref |
| CT | 166 (55.0) | 194 (49.9) | 0.012a | 1.98 (1.42–2.75) |
| TT | 52 (17.2) | 44 (11.3) | <0.001a | 2.73 (1.70–4.39) |
| Allele | ||||
| C | 334 (55.3) | 496 (63.8) | 0.001a | 1.42 (1.14–1.77) |
| T | 270 (44.7) | 282 (36.2) | ||
| rs727088 genotype | ||||
| AA | 109 (36.1) | 218 (56.0) | Ref | Ref |
| AG | 163 (54.0) | 158 (40.6) | <0.001a | 2.06 (1.50–2.83) |
| GG | 30 (9.9) | 13 (3.3) | <0.001a | 4.62 (2.31–9.20) |
| Allele | ||||
| A | 381 (63.1) | 594 (76.3) | <0.001a | 1.89 (1.50–2.39) |
| G | 223 (36.9) | 184 (23.7) |
Notes:
Statistically significant.
Abbreviations: OR, odds ratio; CI, confidence interval; SNP, single-nucleotide polymorphism; n, number of patients or controls; Ref, reference.
Association between CD226 polymorphisms and clinicopathologic characteristics of NSCLC patients
Results of stratified analyses by clinicopathological features including sex, age, histological classification, tumor size, lymph node invasion, metastasis, and clinical stage for the two SNPs are presented in Tables 2 and 3. The rs763361 locus did not show any differences among stratified patient groups, whereas the frequencies of allele and genotype of the rs727088 locus were significantly different between patient groups with different stages of lymph node invasion (P=0.024 and P=0.042, respectively, for allele and genotype) and clinical stage (P=0.033). A significantly higher frequency of allele G was observed in patients with lymph node invasion at the N2 stage, and logistic-regression analysis revealed that allele G was associated with lymph node invasion (OR =1.784; 95% CI =1.077–2.954).
Table 2.
Association between clinical characteristics of patients with non-small-cell lung cancer and polymorphism of locus rs763361
| Characteristics | Patients,n | Genotype, n (%)
|
P-value | Allele no (%)
|
P-value | OR (95% CI) | |||
|---|---|---|---|---|---|---|---|---|---|
| CC | CT | TT | C | T | |||||
| Sex | |||||||||
| Female | 86 | 26 (30.2) | 51 (59.3) | 9 (10.5) | 0.161 | 103 (59.5) | 69 (40.1) | 0.155 | 1.30 (0.91–1.86) |
| Male | 216 | 57 (26.4) | 115 (53.2) | 42 (19.4) | 229 (53.5) | 199 (46.5) | |||
| Age | |||||||||
| ≤60 years | 171 | 47 (27.5) | 95 (55.6) | 29 (16.9) | 0.830 | 189 (55.3) | 153 (44.7) | 0.984 | 0.99 (0.72–1.38) |
| >60 years | 131 | 37 (28.2) | 71 (54.2) | 23 (17.6) | 145 (55.3) | 117 (44.7) | |||
| Histological type | |||||||||
| ADC | 138 | 44 (31.9) | 75 (54.3) | 19 (13.8) | 163 (59.1) | 113 (40.9) | |||
| SCC | 138 | 33 (23.9) | 77 (55.8) | 28 (20.3) | 0.190 | 143 (51.8) | 133 (48.2) | 0.087 | 1.34 (0.96–1.88) |
| Others | 26 | 7 (26.9) | 14 (53.8) | 5 (19.2) | 0.733 | 28 (53.8) | 24 (46.2) | 0.485 | 1.24 (0.68–2.24) |
| Differentiation | |||||||||
| Poor | 204 | 59 (28.9) | 111 (54.4) | 34 (16.7) | 0.809 | 229 (56.1) | 179 (43.9) | 0.554 | 1.11 (0.79–1.56) |
| Moderate–well | 98 | 25 (25.5) | 55 (56.1) | 18 (18.4) | 105 (53.6) | 91 (46.4) | |||
| Tumor size | |||||||||
| T1 | 34 | 11 (32.4) | 17 (50.0) | 6 (17.6) | 39 (57.4) | 29 (42.6) | |||
| T2 | 192 | 53 (27.6) | 106 (55.2) | 33 (17.2) | 0.828 | 212 (55.2) | 172 (44.8) | 0.743 | 1.09 (0.65–1.84) |
| T3 | 51 | 15 (29.4) | 27 (52.9) | 9 (17.6) | 0.955 | 57 (55.9) | 45 (44.1) | 0.850 | 1.60 (0.57–1.97) |
| T4 | 25 | 5 (20.0) | 16 (64.0) | 4 (16.0) | 0.512 | 26 (52.0) | 24 (48.0) | 0.563 | 1.24 (0.58–2.59) |
| Lymph node | |||||||||
| N0 | 156 | 43 (27.6) | 83 (53.2) | 30 (19.2) | 170 (54.1) | 144 (45.7) | |||
| N1 | 107 | 36 (33.6) | 56 (52.3) | 15 (14.0) | 0.407 | 128 (59.8) | 86 (40.2) | 0.197 | 0.79 (0.56–1.13) |
| N2 | 38 | 5 (13.2) | 26 (68.4) | 7 (18.4) | 0.147 | 36 (47.4) | 40 (52.6) | 0.289 | 1.31 (0.79–2.17) |
| Metastasis | |||||||||
| M0 | 285 | 78 (27.4) | 157 (55.1) | 50 (17.5) | 0.709 | 313 (54.9) | 257 (45.1) | 0.435 | 0.75 (0.37–1.54) |
| M1 | 17 | 6 (35.3) | 9 (52.9) | 2 (11.8) | 21 (61.8) | 13 (38.2) | |||
| Clinical stage | |||||||||
| I + II | 223 | 67 (30.0) | 116 (52.0) | 40 (17.9) | 0.209 | 250 (56.1) | 196 (43.9) | 0.577 | 0.89 (0.62–1.28) |
| III + IV | 79 | 17 (21.5) | 50 (63.3) | 12 (15.2) | 84 (53.2) | 74 (46.8) | |||
Abbreviations: ADC, adenocarcinoma; SCC, squamous cell carcinoma; OR, odds ratio; CI, confidence interval.
Table 3.
Association between clinical characteristics of patients with non-small-cell lung cancer and polymorphism of locus rs727088
| Characteristics | Patients, n | Genotype n (%)
|
P-value | Allele n (%)
|
P-value | OR (95% CI) | |||
|---|---|---|---|---|---|---|---|---|---|
| AA | AG | GG | A | G | |||||
| Sex | |||||||||
| Female | 86 | 34 (39.5) | 43 (50.0) | 9 (10.5) | 0.677 | 111 (64.5) | 61 (35.5) | 0.640 | 1.09 (0.76–1.58) |
| Male | 216 | 75 (34.7) | 120 (55.6) | 21 (9.7) | 270 (65.5) | 162 (37.5) | |||
| Age | |||||||||
| ≤60 years | 170 | 63 (37.1) | 91 (53.5) | 16 (9.4) | 0.895 | 217 (63.8) | 123 (36.2) | 0.667 | 1.08 (0.77–1.50) |
| >60 years | 132 | 46 (34.8) | 72 (54.5) | 14 (10.6) | 164 (62.1) | 100 (37.9) | |||
| Histological type | |||||||||
| ADC | 1,381 | 49 (35.5) | 75 (54.3) | 14 (10.1) | 173 (62.7) | 103 (37.3) | |||
| SCC | 138 | 47 (34.1) | 77 (55.8) | 14 (10.1) | 0.967 | 171 (62.0) | 105 (38.0) | 0.861 | 1.03 (0.73–1.46) |
| Others | 26 | 13 (50.0) | 11 (42.3) | 2 (7.7) | 0.376 | 37 (71.2) | 15 (28.8) | 0.364 | 0.68 (0.36–1.30) |
| Differentiation | |||||||||
| Poor | 204 | 72 (35.3) | 111 (54.4) | 21 (10.3) | 0.898 | 255 (62.5) | 153 (37.5) | 0.670 | 0.93 (0.65–1.32) |
| Moderate–well | 98 | 37 (37.8) | 52 (53.1) | 9 (9.2) | 126 (64.3) | 70 (35.7) | |||
| Tumor size | |||||||||
| T1 | 34 | 16 (47.1) | 16 (47.1) | 2 (5.9) | 48 (70.6) | 20 (29.4) | |||
| T2 | 192 | 72 (37.5) | 101 (52.6) | 19 (9.9) | 0.509 | 245 (63.8) | 139 (36.2) | 0.280 | 1.36 (0.78–2.39) |
| T3 | 51 | 15 (29.4) | 28 (54.9) | 8 (15.7) | 0.161 | 58 (56.9) | 44 (43.1) | 0.070 | 1.82 (0.95–3.51) |
| T4 | 25 | 6 (24.0) | 18 (72.0) | 1 (4.0) | 0.156 | 30 (60.0) | 20 (40.0) | 0.230 | 1.60 (0.74–3.45) |
| Lymph node | |||||||||
| N0 | 157 | 55 (35.0) | 87 (55.4) | 15 (9.6) | 197 (62.7) | 117 (37.3) | |||
| N1 | 107 | 48 (44.9) | 51 (47.7) | 8 (7.5) | 0.270 | 147 (68.7) | 67 (31.3) | 0.167 | 0.77 (0.53–1.12) |
| N2 | 38 | 6 (15.8) | 25 (65.8) | 7 (18.4) | 0.042a | 37 (48.7) | 39 (51.3) | 0.024a | 1.78 (1.08–2.95) |
| Metastasis | |||||||||
| M0 | 285 | 103 (36.1) | 156 (54.7) | 26 (9.1) | 0.142 | 362 (63.5) | 208 (36.5) | 0.371 | 1.37 (0.68–2.76) |
| M1 | 17 | 6 (35.3) | 7 (41.2) | 4 (23.5) | 19 (55.9) | 15 (44.1) | |||
| Clinical stage | |||||||||
| I + II | 223 | 90 (40.4) | 113 (50.7) | 20 (9.0) | 0.033a | 193 (55.8) | 153 (44.2) | 0.986 | 0.99 (0.68–1.46) |
| III + IV | 79 | 19 (24.1) | 50 (63.3) | 10 (12.7) | 88 (55.7) | 70 (44.3) | |||
Notes:
Statistically significant.
Abbreviations: ADC, adenocarcinoma; SCC, squamous cell carcinoma; OR, odds ratio; CI, confidence interval.
The study power has been performed with the Quanto 1.1.1 program. Under a dominant genetic model, at the 0.05 level of significance with the two-sided test for the two polymorphisms, our current study had 94.99% and 96.80% power, respectively, for the rs763361 and the rs727088 polymorphisms to detect an effect with a relative risk of 1.8 in the group of NSCLC patients and in the group of healthy controls.
Discussion
Our present study provided the first evidence that both the T/C of rs763361 and the G/A of rs727088 were associated with NSCLC. The allele T of rs763361 and the allele G of rs727088 were remarkably correlated with NSCLC risk, indicating that CD226 may be used as a risk candidate bio-marker for NSCLC susceptibility.
As an adhesion molecule and as a triggering receptor in NK and cytotoxic T lymphocyte (CTL) cells,5 CD226 is important for NK cell-mediated recognition of several human tumors, including myeloma, neuroblastoma, and Ewing’s sarcoma.16–19 Adhesion molecules act directly as signaling molecules, initiating intracellular pathways that trigger activation and adhesiveness of CTL cells. They also act as accessory molecules, sustaining cellular contacts that are necessary for the NK cell receptors and T cell receptors to engage their cognate ligands and to deliver intracellular signals.7
NK cells display cytolytic activity against virus-infected cells and a wide variety of tumors of different histotypes.20 A role for NK cells in therapeutic intervention is becoming more apparent, such as in cases of melanoma, acute myeloid leukemia, and multiple myeloma.20–22 Emerging evidence suggests that CD226 plays an important role in T cell-and NK cell-mediated immunity to a variety of tumors expressing CD226 ligands.16,17,23–25 Many tumor cell lines of epithelial tissue origin express CD155 and/or CD112, which, as the main ligands for CD226, are lysed in vitro by NK cells and CTL cell lines in a CD226-dependent manner.5 The expression of CD155 and/or CD112 has also been detected in tumor samples from patients with metastatic neuroblastoma, some of which were shown to be susceptible to CD226-mediated lysis by activation of NK cells.17,26 In some vitro studies, it has been shown that CD226 triggers NK cell-mediated killing of a range of tumor cells expressing CD155 and CD112.16,17,24,27,28 NKT cells, γδT cells, and CD4 T cells express CD226 when activated.18,29–31 CD226 binds to CD155 and to CD112, both of which have been found to be upregulated on tumors. CD155 is widely expressed on normal cells and is overexpressed on many tumor types.16,17,23,27,29–32 Moreover, some tumors overexpress CD155 and release it as a soluble molecule,33 possibly to block CD226 and to prevent recognition of tumor cells.20 One study demonstrated that the CD226–CD155 interaction is crucial for recognition, and through resting allogeneic NK cells, it can kill freshly isolated human ovarian carcinoma cells.23 Hence, these results may provide inspiration for the design of future protocols of adoptive NK cell- and antibody-based immunotherapies for ovarian carcinoma and possibly for other human tumors.23,34 Furthermore, the generation of autoreactive T cells may be regulated by CD226–CD155 interactions, emphasizing the importance of CD226 in the immune response.35
The importance of CD226 in tumor immunity on both NK cells and T cells has been shown in vivo.24 In murine models, two independent research groups have reported an increased risk of tumor development in mice lacking either the CD226 or NKG2G receptor.36,37 Compared with wide-type mice, CD226-deficient mice developed significantly more CD226 ligand-expressing fibrosarcoma and papilloma tumors in response to the chemical carcinogens methylcholanthrene and 7,12-dimethylbenz[a]anthracene.37 These results verified the notion of CD226 plays a crucial role in immune surveillance of tumor development.34 In addition, one recently published study showed that DNAM-1 was expressed by Vg9Vd2 T cells, and Nectin-like-5 but not Nectin-2 was involved in DNAM-1-dependent gammadelta T-cell functions.38 Another point is that activated NK cell receptors play a role in γδT cell cytotoxicity, and monoclonal antibody-mediated masking experiments have revealed that cytotoxicity and interferon-γ production by human γδT cells in response to hepatocellular carcinomas was CD226-dependent.22,38 Therefore, CD226 may act as a tumor surveillance receptor in NK cells.
Interestingly, our present study demonstrated that SNP rs763361 of allele T and SNP rs727088 of allele G were associated with NSCLC, and with lymph node invasion and clinical stage cancer. More importantly, we have provided the first useful evidence that the CD226 gene is associated with NSCLC in the Chinese population. CD226 may be used as a predictor for monitoring cancer, and more importantly, a possible immunotherapy target, which may be useful in clinical applications. Further studies with larger sample sizes in populations of different ethnicities are necessary to confirm our findings.
Acknowledgments
We thank the patients and their families for their cooperation and support. This work was supported by the National Natural Science Foundation of China (grant number 81372504); and the Science and Technology Support Program of the Science and Technology Department of Sichuan Province (grant number 2014SZ0148).
Footnotes
Disclosure
The authors report no conflicts of interest in this work.
References
- 1.Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin. 2012;62:10–29. doi: 10.3322/caac.20138. [DOI] [PubMed] [Google Scholar]
- 2.Sandler A, Gray R, Perry MC, et al. Paclitaxel-carboplatin alone or with bevacizumab for non-small-cell lung cancer. N Engl J Med. 2006;355:2542–2550. doi: 10.1056/NEJMoa061884. [DOI] [PubMed] [Google Scholar]
- 3.Xu Z, Zhang T, Zhuang R, et al. Increased levels of soluble CD226 in sera accompanied by decreased membrane CD226 expression on peripheral blood mononuclear cells from cancer patients. BMC Immunol. 2009;10:34. doi: 10.1186/1471-2172-10-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tian F, Li D, Xia H, et al. Isolation of cDNAs encoding gibbon and monkey platelet and T cell activation antigen 1 (PTA1) DNA Seq. 1999;10:155–161. doi: 10.3109/10425179909033941. [DOI] [PubMed] [Google Scholar]
- 5.Shibuya A, Campbell D, Hannum C, et al. DNAM-1, a novel adhesion molecule involved in the cytolytic function of T lymphocytes. Immunity. 1996;4:573–581. doi: 10.1016/s1074-7613(00)70060-4. [DOI] [PubMed] [Google Scholar]
- 6.Shibuya A, Lanier LL, Phillips JH. Protein kinase C is involved in the regulation of both signaling and adhesion mediated by DNAX accessory molecule-1 receptor. J Immunol. 1998;161:1671–1676. [PubMed] [Google Scholar]
- 7.Maiti AK, Kim-Howard X, Viswanathan P, et al. Non-synonymous variant (Gly307Ser) in CD226 is associated with susceptibility to multiple autoimmune diseases. Rheumatology (Oxford) 2010;49:1239–1244. doi: 10.1093/rheumatology/kep470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hafler JP, Maier LM, Cooper JD, et al. CD226 Gly307Ser association with multiple autoimmune diseases. Genes Immun. 2009;10:5–10. doi: 10.1038/gene.2008.82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Xu Z, Jin B. A novel interface consisting of homologous immunoglobulin superfamily members with multiple functions. Cell Mol Immunol. 2010;7:11–19. doi: 10.1038/cmi.2009.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Shibuya K, Lanier LL, Phillips JH, et al. Physical and functional association of LFA-1 with DNAM-1 adhesion molecule. Immunity. 1999;11:615–623. doi: 10.1016/s1074-7613(00)80136-3. [DOI] [PubMed] [Google Scholar]
- 11.Löfgren SE, Delgado-Vega AM, Gallant CJ, et al. A 3′-untranslated region variant is associated with impaired expression of CD226 in T and natural killer T cells and is associated with susceptibility to systemic lupus erythematosus. Arthritis Rheum. 2010;62:3404–3414. doi: 10.1002/art.27677. [DOI] [PubMed] [Google Scholar]
- 12.Bossini-Castillo L, Simeon CP, Beretta L, et al. Spanish Scleroderma Group A multicenter study confirms CD226 gene association with systemic sclerosis-related pulmonary fibrosis. Arthritis Res Ther. 2012;14:R85. doi: 10.1186/ar3809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zhang C, Ding Z, Lv G, Li J, Zhang JF, Zhou P. CD226 rs727088A>G polymorphism increases the susceptibility to gastric cancer in Chinese populations. Gene. 2015;557:92–97. doi: 10.1016/j.gene.2014.12.022. [DOI] [PubMed] [Google Scholar]
- 14.Shi S, Zhou B, Zhang K, Zhang L. Association between two genetic variants of CD226 gene and Cervical Squamous Cell Carcinoma: a case-control study. Gene. 2013;519:159–163. doi: 10.1016/j.gene.2012.11.039. [DOI] [PubMed] [Google Scholar]
- 15.Sobin LH, Wittekind CH. TNM Classification of Malignant Tumours. 6th ed. Hoboken, NJ: John Wiley & Sons; 2002. [Google Scholar]
- 16.El-Sherbiny YM, Meade JL, Holmes TD, et al. The requirement for DNAM-1, NKG2D, and NKp46 in the natural killer cell-mediated killing of myeloma cells. Cancer Res. 2007;67:8444–8449. doi: 10.1158/0008-5472.CAN-06-4230. [DOI] [PubMed] [Google Scholar]
- 17.Castriconi R, Dondero A, Corrias MV, et al. Natural killer cell-mediated killing of freshly isolated neuroblastoma cells: critical role of DNAX accessory molecule-1-poliovirus receptor interaction. Cancer Res. 2004;64:9180–9184. doi: 10.1158/0008-5472.CAN-04-2682. [DOI] [PubMed] [Google Scholar]
- 18.Verhoeven DH, de Hooge AS, Mooiman EC, et al. NK cells recognize and lyse Ewing sarcoma cells through NKG2D and DNAM-1 receptor dependent pathways. Mol Immunol. 2008;45:3917–3925. doi: 10.1016/j.molimm.2008.06.016. [DOI] [PubMed] [Google Scholar]
- 19.Carlsten M, Malmberg KJ, Ljunggren HG. Natural killer cell-mediated lysis of freshly isolated human tumor cells. Int J Cancer. 2009;124:757–762. doi: 10.1002/ijc.24082. [DOI] [PubMed] [Google Scholar]
- 20.Gilfillan S, Chan CJ, Cella M, et al. DNAM-1 promotes activation of cytotoxic lymphocytes by nonprofessional antigen-presenting cells and tumors. J Exp Med. 2008;205:2965–2973. doi: 10.1084/jem.20081752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Trinchieri G. Biology of natural killer cells. Adv Immunol. 1989;47:187–376. doi: 10.1016/S0065-2776(08)60664-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Chan CJ, Andrews DM, McLaughlin NM, et al. DNAM-1/CD155 interactions promote cytokine and NK cell-mediated suppression of poorly immunogenic melanoma metastases. J Immunol. 2010;184:902–911. doi: 10.4049/jimmunol.0903225. [DOI] [PubMed] [Google Scholar]
- 23.Carlsten M, Björkström NK, Norell H, et al. DNAX accessory molecule-1 mediated recognition of freshly isolated ovarian carcinoma by resting natural killer cells. Cancer Res. 2007;67:1317–1325. doi: 10.1158/0008-5472.CAN-06-2264. [DOI] [PubMed] [Google Scholar]
- 24.Tahara-Hanaoka S, Shibuya K, Kai H, et al. Tumor rejection by the poliovirus receptor family ligands of the DNAM-1 (CD226) receptor. Blood. 2006;107:1491–1496. doi: 10.1182/blood-2005-04-1684. [DOI] [PubMed] [Google Scholar]
- 25.Masson D, Jarry A, Baury B, et al. Overexpression of the CD155 gene in human colorectal carcinoma. Gut. 2001;49:236–240. doi: 10.1136/gut.49.2.236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Fuchs A, Colonna M. The role of NK cell recognition of nectin and nectin-like proteins in tumor immunosurveillance. Semin Cancer Biol. 2006;16:359–366. doi: 10.1016/j.semcancer.2006.07.002. [DOI] [PubMed] [Google Scholar]
- 27.Bottino C, Castriconi R, Pende D, et al. Identification of PVR (CD155) and Nectin-2 (CD112) as cell surface ligands for the human DNAM-1 (CD226) activating molecule. J Exp Med. 2003;198:557–567. doi: 10.1084/jem.20030788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Fuchs A, Cella M, Giurisato E, Shaw AS, Colonna M. Cutting edge: CD96 (tactile) promotes NK cell-target cell adhesion by interacting with the poliovirus receptor (CD155) J Immunol. 2004;172:3994–3998. doi: 10.4049/jimmunol.172.7.3994. [DOI] [PubMed] [Google Scholar]
- 29.Kakehi S, Nakahama K, Morita I. Expression and possible role of PVR/CD155/Necl-5 in osteoclastogenesis. Mol Cell Biochem. 2007;301:209–217. doi: 10.1007/s11010-007-9413-x. [DOI] [PubMed] [Google Scholar]
- 30.Pende D, Castriconi R, Romagnani P, et al. Expression of the DNAM-1 ligands, Nectin-2 (CD112) and poliovirus receptor (CD155), on dendritic cells: relevance for natural killer-dendritic cell interaction. Blood. 2006;107:2030–2036. doi: 10.1182/blood-2005-07-2696. [DOI] [PubMed] [Google Scholar]
- 31.Reymond N, Imbert AM, Devilard E, et al. DNAM-1 and PVR regulate monocyte migration through endothelial junctions. J Exp Med. 2004;199:1331–1341. doi: 10.1084/jem.20032206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sloan KE, Stewart JK, Treloar AF, Matthews RT, Jay DG. CD155/PVR enhances glioma cell dispersal by regulating adhesion signaling and focal adhesion dynamics. Cancer Res. 2005;65:10930–10937. doi: 10.1158/0008-5472.CAN-05-1890. [DOI] [PubMed] [Google Scholar]
- 33.Baury B, Masson D, McDermott BM, Jr, et al. Identification of secreted CD155 isoforms. Biochem Biophys Res Commun. 2003;309:175–182. doi: 10.1016/s0006-291x(03)01560-2. [DOI] [PubMed] [Google Scholar]
- 34.Carlsten M, Norell H, Bryceson YT, et al. Primary human tumor cells expressing CD155 impair tumor targeting by down-regulating DNAM-1 on NK cells. J Immunol. 2009;183:4921–4930. doi: 10.4049/jimmunol.0901226. [DOI] [PubMed] [Google Scholar]
- 35.Soriani A, Zingoni A, Cerboni C, et al. ATM-ATR-dependent up-regulation of DNAM-1 and NKG2D ligands on multiple myeloma cells by therapeutic agents results in enhanced NK-cell susceptibility and is associated with a senescent phenotype. Blood. 2009;113:3503–3511. doi: 10.1182/blood-2008-08-173914. [DOI] [PubMed] [Google Scholar]
- 36.Guerra N, Tan YX, Joncker NT, et al. NKG2D-deficient mice are defective in tumor surveillance in models of spontaneous malignancy. Immunity. 2008;28:571–580. doi: 10.1016/j.immuni.2008.02.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Iguchi-Manaka A, Kai H, Yamashita Y, et al. Accelerated tumor growth in mice deficient in DNAM-1 receptor. J Exp Med. 2008;205:2959–2964. doi: 10.1084/jem.20081611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Toutirais O, Cabillic F, Le Friec G, et al. DNAX accessory molecule-1 (CD226) promotes human hepatocellular carcinoma cell lysis by Vgamma9Vdelta2 T cells. Eur J Immunol. 2009;39:1361–1368. doi: 10.1002/eji.200838409. [DOI] [PubMed] [Google Scholar]