Abstract
The purpose of this study was to investigate the association of Epstein-Barr virus (EBV) with peripheral blood immune cell counts and clinical outcomes in advanced nasopharyngeal carcinoma (NPC) patients. In a retrospective design, 146 patients with NPC at stage IV were enrolled in this study. The association of EBV status with peripheral blood immune cell counts, distant metastases, and long-term survival in patients with advanced NPC were determined. Eighty-seven (59.6%) of all patients were positive for EBV. Compared with patients with normal NK cell count, patients with lower NK cell count showed a significantly lower EBV viral load (median: 614.0 vs. 2190.0 copies/mL, P = 0.024). EBV-positive patients showed a significantly higher incidence of liver metastasis than EBV-negative patients (32.6% vs. 23.7%, P = 0.021). Multi-variant regression analysis showed that EBV infection was independently associated with liver metastasis (OR: 2.33, P = 0.043). EBV positive patients showed a significantly worse PFS (P = 0.001) and OS (P = 0.001) than EBV negative patients. Multivariate Cox regression analysis revealed that EBV infection was independently associated with a worse PFS (HR: 1.94, P = 0.003), and OS (HR: 2.12, P = 0.014) in advanced NPC. In conclusion, EBV infection is associated with a high risk of liver metastasis and is also an independent negative predictor for PFS and OS in patients with advanced NPC. EBV infection is associated with lower CD8% and higher NK%, while lower NK cell count is associated with lower EBV viral load.
Similar content being viewed by others
Introduction
Nasopharyngeal carcinoma (NPC) occurs worldwide and is endemic in southern China and Southeast Asia1. More than 90% of NPC are poorly differentiated squamous cell carcinoma and undifferentiated carcinoma2. Thus, NPC is relatively sensitive to radiotherapy and chemotherapy1. More than 80% of early-stage NPC is curable with radiation therapy and chemotherapy3. However, due to the biological characteristics of highly invasive and metastatic potential, advanced stage NPC with either locally and metastatic at onset or recurrent has an unfavorable prognosis. Hence, studies to explore factors influencing the process of pathogenesis and development, and the therapeutic effects of NPC are warranted.
NPC is closely associated with the Epstein-Barr virus (EBV). EBV plays an essential role in the initiation and progression of NPC4,5. The plasma EBV DNA load is a highly sensitive and specific tumor marker in NPC patients6,7,8. Plasma EBV DNA load is significantly correlated with tumor burden and associated with disease stage and prognosis8,9,10,11,12,13. However, not all advanced NPC patients have a higher EBV viral load, and the EBV viral load is constantly changing in the progression of the tumor. Thus, studies are needed to find the susceptibility factor of EBV replication and special point in the promotion of metastasis by EBV in advanced NPC.
EBV causes asymptomatic lifelong infection in nearly all humans by adulthood. Both host humoral and cellular immune responses can control but not eliminate the proliferation of EBV-infected cells in healthy virus carriers. During the primary EBV infection, both T cell-mediated EBV-specific responses and NK cell-mediated nonspecific responses play an essential role14. During latent infection, T cells played a pivotal role in inhibiting the proliferation of EBV-infected cells15,16. When the immune system of the body is in a disordered status, persistent EBV infection can lead to the development of EBV-positive malignant tumors, such as NPC. It is well known that immune-suppression contributes to the initiation and progression of NPC and the immune function is correlated with the prognosis of NPC patients17,18. However, the association of EBV infection status with peripheral immune parameters and clinical outcomes in patients with advanced NPC is still not clear.
In this study, we examined the interaction between EBV infection and peripheral blood immune cells and its relationship with clinical outcome, aiming to elucidate the clinical role of EBV and factors affecting clinical outcome in advanced NPC and to provide insights to the treatment of advanced NPC.
Material and methods
Patients and data collection
This study was approved by the Medical Ethics Committee of the Chongqing University Cancer Hospital. For this retrospective study, the Institutional Ethics Committee waived the need for informed consent. All methods were performed in accordance with the relevant guidelines and regulations.
The patients with histologically confirmed nasopharyngeal carcinomas (NPC) were screened from Chongqing University Cancer Hospital (Chongqing, China) between January 2011 and November 2018. Histopathology was based on the WHO international histological classification. All tumors were staged according to the American Joint Committee on Cancer classification. Eligible patients were those who were ≥ 18 years; staged IV; had complete information on EBV status and immune function variables. For all patients, we reviewed the clinical records to obtain clinicopathologic characteristics, including age, sex, smoking history, tumor histology, and the information of metastasis and treatments.
EBV detection
Plasma samples of patients were prepared from the peripheral blood by centrifugation at 3000 rpm for 10 min and then stored at -80 °C until use. The real-time quantitative PCR was used to detect EBV-DNA. According to the manufacturer (ZJ Bio-Tech Co., Ltd., Shanghai, China), it was defined as positive if EBV-DNA were higher or equal to 500 copies/mL in plasma. All the experiments were conducted as per the manufacturer's instructions.
Blood samples and flow cytometry for the detection of immune function
The percentage and the absolute number of CD3+, CD4+, CD8+, CD16+ CD56+ , and CD19+ lymphocytes were detected by FACS Calibur cytometer (BD Biosciences) as follows: peripheral blood specimens drawn by venipuncture were collected by using BD Vacutainer EDTA Tubes (K3 EDTA). The samples were then analyzed using Facs lysing solution according to the manufacturer's instructions (BD MultiTest IMK kit). The kit comprised of a panel of monoclonal antibodies of fluorescein isothiocyanate (FITC)-labeled CD3; CD8 phycoerythrin (PE); CD45 peridinin chlorophyll protein (PerCP); CD4 allophycocyanin (APC); CD16+ 56-PE; and CD19-APC. Briefly, 50 μL of whole blood (EDTA) was added to 20 μL of both fluorochrome-conjugated monoclonal antibodies (anti-CD3 FITC/CD8 PE/CD45 PerCP/CD4 APC and anti-CD3 FITC/CD(16 + 56) PE/CD45 PerCP/CD19 APC. Tubes were vortexed and incubated for 15 min in the dark at room temperature. Four hundred fifty microliters of 1× MultiTest lysing solution was added to each tube, and tubes were vortexed and incubated for 15 min at room temperature in the dark. At last, the specimens were then analyzed by FACSCalibur cytometer. Data acquisition and analysis were performed by computerized calculations using Cell Quest software19.
The normal value of peripheral immune parameters were defined according to the manufacture’s recommendations as follows: percentage of total T lymphocyte (CD3%): (50–84)%; total T lymphocyte (CD3) count: (955–2860) × 106/L; percentage of inhibition of T lymphocyte (CD8%): (15–44)%; inhibition of T lymphocyte (CD8) count: (320–1250) × 106/L; percentage of helper T lymphocyte (CD4%): (27–51)%; helper T lymphocyte (CD4) count: (550–1440) × 106/L; the ratio of CD4 and CD8 (CD4/CD8): 0.71–2.87; percentage of natural killer cell (NK%): (7–40)%; natural killer cell (NK) count: (150–1100) × 106/L; percentage of B lymphocyte (BC%): (5–18)%. B lymphocyte (BC) count: (90–560) × 106/L; total lymphocyte count (CD45): (1530–3700) × 106/L.
Statistical analysis
The associations between EBV status and immune function variables and clinicopathologic variables were evaluated by Kruskal–Wallis tests (for continuous variables) or Pearson chi-square test (for categorical variables), as appropriate. PFS was defined as the time interval from the date of diagnosis of stage IV disease to the date of disease progression or death. OS was defined as the time interval from the date of diagnosis of stage IV disease to the date of death. PFS and OS were calculated by the Kaplan–Meier method. The Log-rank test was used for intergroup comparisons. Cox proportional hazards model was used to perform univariate and multivariate analyses of PFS and OS. Logistic regression was used for univariate and multivariate analysis of binary variables. Baseline variables that were considered clinically relevant or that showed a significant relationship in univariate analysis were entered into multivariate regression. A P value of < 0.05 was taken as being statistically significant. R (version 3.6.2; http://www.r-project.org ) software was used to analyze data.
Results
Patients characteristics
In total, 146 patients were enrolled in this study. Of these patients, 113 (77.4%) were male and 33 (22.6%) were female, with age ranging from 21 to 78 years (median 50.07 years). Eighteen patients were stage IVa, 22 patients were stage IVb, and 106 patients were stage IVc. Eighty-seven of all patients showed EBV positive. NPC patients with EBV positive were significantly associated with liver metastasis (P = 0.040), and no significant difference was observed between EBV positive with other clinicopathological parameters. The baseline clinical characteristics of these enrolled patients and the association between EBV infection and clinicopathological features are shown in Table 1.
Relation of peripheral immune parameters and clinical features to EBV infection
As displayed in Supplementary Table 1, EBV positive status was significantly related to CD8% (P = 0.042) and NK% (P = 0.040), but no significant association with other immune indexes. It is well known that the EBV-DNA load is a surrogate for tumor burden in NPC patients. In this study, we further evaluated the relation of EBV viral load to clinical characterization and peripheral immune parameters. As shown in Fig. 1, the EBV viral load of patients with lower NK cell count was significantly associated with lower EBV viral load (median: 614.0 vs. 2190.0 copies/mL, P = 0.024; Fig. 1D). EBV viral load did not show a significant relationship with other immunity parameters.
Impact of EBV infection on the incidence and sites of metastasis
One hundred and twenty-six (75.9%) patients had distant metastasis in this cohort study. Of these patients, 38 (22.9%), 32 (19.3%), 53 (31.9%), and 22 (13%) had liver, lung, bone, and other metastasis, respectively. The rate of distant metastasis in EBV positive patient (77%, 67/87) was higher than that in EBV negative patient (66.1%, 39/59). However, the difference in the rate of distant metastasis between EBV positive patient and negative patients did not achieve a significant level (P = 0.147). Patients with liver metastasis showed significantly higher EBV DNA load than patients without liver metastasis (7125.0 vs 1335.0 copies/mL, P = 0.020; Fig. 2A). Patients with bone or other metastasis also showed a higher EBV DNA load than those without bone or other metastasis (including non-regional lymph node, adrenal gland, etc.) (bone: 2230.0 vs 1350.0 copies/mL, P = 0.074; others: 9905.0 vs 1445.0 copies/mL, P = 0.076; Fig. 2B, 2D), but the differences in the EBV load between two groups were not statistically significant. The difference in the EBV load between patients with and without lung metastasis did not achieve a significant level (1525.0 vs 1870.0 copies/mL, P = 0.532; Fig. 2C).
To investigate whether there is indeed an association between EBV infection and liver metastasis in advanced NPC patients, univariate and multivariate logistic regression analysis was performed. The univariate logistic analysis showed that EBV infection was significantly associated with liver metastasis (OR: 2.325, 95%CI: 1.029–5.256, P = 0.043; Table 2). Multiple logistic analyses demonstrated that EBV infection was a significant and independent risk predictor for liver metastasis in NPC patients (OR: 2.856; 95%CI: 1.193–6.837, P = 0.018). However, unexpectedly, the results showed that the T4 stage was an independent protective factor for liver metastasis (OR: 0.600; 95%CI: 0.436–0.825, P = 0.002). No significant effect of immune parameters was found on liver metastasis.
Impact of EBV infection on the pattern of distant metastasis
Of 146 enrolled patients, distant metastasis occurred in 126 patients, 0, 1 (single) and ≥ 2 (multiple) sites accounted for 24.1%, 45.2% and 18.7%, respectively. Patients with multiple metastasizes showed a significantly higher EBV DNA load than those with single or without metastasis (multiple vs. single: 13,300.0 vs. 1320.0 copies/mL, P = 0.008; multiple vs. none: 13,300.0 vs 1093.0 copies/mL, P = 0.006; Fig. 2E). However, the difference in EBV DNA load between patients with single and without metastasis was not significant (single vs. none: 1320.0 vs 1093.0 copies/mL, P = 0.768). In patients with liver, bone, lung, and other metastasis, 73.7% (28/38), 67.9%(36/53), 59.4%(19/32), and 68.2% (15/22) showed EBV positive, respectively (Fig. 2F).
Association of HBsAg status with EBV infection and liver metastasis
A total of 137 patients with HBV status was analyzed. Of these patients, 12.7% (21/137) were HBsAg positive. Of these HBsAg positive patients, 66.7% (14/21) was EBV positive, which was higher than those HBsAg negative patients (33.3%, 7/21). However, no significant difference was observed between the two groups (P = 0.403). The EBV viral load of patients with HBsAg positive status was similar to that of patients with HBsAg negative status (median: 1610.0 vs. 1620.0, P = 0.986; Fig. 1F). Some previous studies showed that HBV infection was associated with liver metastasis. Our results demonstrated that HBsAg positive patients showed a higher rate of liver metastasis than HBsAg negative patients (38.1% vs 25.9%), but this difference was not achieved statistical significance (P = 0.249). Neither univariate nor multivariate logistic regression analysis (univariate analysis OR: 1.764, 95%CI: 0.666–4.672, P = 0.253; multivariate analysis OR: 1.284, 95%CI: 0.449–3.670, P = 0.641; Table 2) showed a significant effect of HBsAg positive status on liver metastasis.
Association of EBV infection and immunity parameters with PFS and OS
Kaplan–Meier survival analysis and log-rank test revealed that EBV infection was significantly associated with worse PFS (mPFS: 8.2 vs. 13.0 months; P = 0.001, Fig. 3A) and OS ( mOS: 20.9 vs. 30 months; P = 0.001, Fig. 3B). No significant association was observed between the HBsAg status (Fig. 3C, 3D) and immunity parameters (data not shown) and PFS and OS. All variables significant on univariate analysis and those potential prognostic impact factors were entered into the Cox proportional hazard model for the prediction of survival. Cox's regression analysis demonstrated that EBV positive status was a significant and independent worse predictor of PFS (HR: 1.94; 95%CI: 1.24–3.03; P = 0.003; Fig. 4A) and OS (HR: 2.12; 95%CI: 1.17–3.86; P = 0.014; Fig. 4B) in advanced NPC.
Discussion
Our study confirmed that EBV infection would raise the risk of liver metastasis in patients with NPC. Logistic analysis showed that EBV infection was an independent risk factor for liver metastasis in NPC patients. However, no significant effect of HBsAg positive status on liver metastasis was found in patients with NPC. EBV positive status was an independent worse prognostic factor affecting PFS and OS. To the best of our knowledge, this is the first study to evaluate the association of EBV infection with immunity parameters. The patients with lower NK cell count was significantly associated with lower EBV viral load. EBV viral load did not show a significant relationship with other immunity parameters.
Previous studies reported that EBV infection was associated with distant metastases in NPC patients20, and the plasma EBV DNA load of patients with liver metastasis was higher than that of patients with lung or bone metastasis8,21. Consistent with previous findings, we also found that EBV DNA levels of patients harboring live metastasis were higher than these patients harboring bone or lung metastasis in advanced NPC. And metastatic NPC patients with liver metastasis had a higher rate of EBV positive status. This phenomenon can be explained by irregularly expressed cytokines in EBV positive NPC. Previous studies revealed that the EBV DNA load is correlated with IP-10, IL-8, IL-6, and MIP-3α. These cytokines showed a close relationship with liver metastasis. Some studies22,23 have shown that elevated serum IP-10 levels were significantly associated with liver metastasis. However, it is not well known how EBV affects these cytokines. The detailed molecular mechanism between EBV infection and liver metastasis is worthy to further investigate.
HBsAg carriers accounted for approximately 10–12% of the general population in the endemic area. In our study, the rate of HBsAg seropositivity in this cohort of patients was 12.7%, generally consistent with the previous report (10.9%)24. Xu’s study25 demonstrated that HBV infection was significantly associated with the presence of liver metastasis. It is said that HBV infection could cause autoimmune reactions to injury the liver cells directly and establish an immune microenvironment that is suitable for metastasizing tumor cells. However, in our study, we failed to confirm that HBsAg positive status was a significant risk factor for liver metastasis in univariate and multivariate logistic regression analysis. The effect of HBV infection on liver metastasis is still a controversial issue. Interestingly, the phenomenon differs depending on the cancer types with HBV infection, raising the risk of liver metastasis in NPC25 and pancreatic cancer26, but decreasing in colorectal cancer27.
Immune dysfunction promotes the pathogenesis of EBV and contributes to the development of NPC 3,28. Some scholars believe that EBV infection should be considered an EBV-associated T/NK-lymphoproliferative disorder rather than a simple form of EBV infection. Previous studies also reported that NK cells, B and T lymphocytes play important roles not only during EBV infection but also in the pathogenesis EBV-related NPC14,29,30,31. However, in the current study, we only found that EBV positive patients had more chance to have lower CD8% and higher NK%, no significant association of EBV positive with other peripheral immune parameters in advanced NPC was found. Previous studies reported that EBV DNA titers correlated with tumor burden, remission, and recurrence and could precede tumor development of NPC32,33,34,35. Thus, we further analyzed the association of the concentration of plasma EBV DNA with immune parameters. Inconsistent with Williams’s study36, our data showed that patients with normal NK cell count had a higher EBV DNA load in peripheral blood. Williams et al.36 found that higher NK cell counts were significantly related to lower EBV DNA load in blood in infectious mononucleosis. This unexpected result might be explained by the fact that normal or higher amounts of NK cells killed more tumor cells and released more EBV DNA into the peripheral blood. However, this hypothesis needs to be validated in a further large size sample analysis.
Previous studies7,37 revealed that higher EBV DNA level was an unfavorable factor for PFS and OS in NPC patients without metastasis treated with radiation therapy and in locally advanced NPC patients treated with concurrent chemoradiotherapy. Consistent with these studies, our study also showed that EBV infection was a significant and independent worse predictor of PFS and OS in patients with advanced NPC, regardless of whatever therapy they may have received. The prognostic value of HBsAg status for advanced NPC patients is still controversial. The study of Liu et al.24, revealed that HBV infection was associated with poor prognosis in patients with locoregionally advanced NPC. However, Xu et al.25, failed to confirm that HBsAg ( +) was an independent predictor in patients with NPC. Similar to Xu’s reports25, we also did not found the significant prognostic value of HBsAg status in this cohort of patients.
There are some limitations to our study. First, this study was conducted retrospectively and the sample size was small. The results were not verified in a validation cohort. Second, the details of the diagnosis and treatment of newly diagnosed patients in the external hospital cannot be fully documented, and there was heterogeneity in the patient treatment before and after the diagnosis of IV stage, it was hard to analyze the effects of different treatment methods on the peripheral immune indicators. Third, this study did not include some comorbidity such as diabetes, rheumatic disease, and autoimmune disease to statistically analyze, which may also affect circulating immune cells.
In summary, EBV infection would raise the risk of liver metastasis and is a significant and independent unfavorable predictor of PFS and OS patients with advanced NPC. EBV positive patients had more chance to have lower CD8% and higher NK%, while the EBV viral load of patients with lower NK cell count was significantly associated with lower EBV viral load. However, it seems no relationship between the HBsAg status and liver metastasis and long-term survival in advanced NPC.
Ethics statement
The study was approved by the Chongqing University Cancer Hospital Ethics Committee. All methods were carried out in accordance with the approved guidelines. For this was a retrospective analysis of routine data, we requested and were granted a waiver of individual informed consent from the ethics committee. Patient records/information was anonymized and de-identified prior to analysis.
Data availability
All datasets generated for this study are included in the manuscript.
References
Spano, J. P. et al. Nasopharyngeal carcinomas: an update. Eur. J. Cancer 39, 2121–2135 (2003).
Xu, L. et al. The developmental transcription factor IRF6 attenuates ABCG2 gene expression and distinctively reverses stemness phenotype in nasopharyngeal carcinoma. Cancer Lett. 431, 230–243 (2018).
Comoli, P. et al. Cell therapy of stage IV nasopharyngeal carcinoma with autologous Epstein-Barr virus-targeted cytotoxic T lymphocytes. J. Clin. Oncol. 23, 8942–8949 (2005).
Chang, Y. S., Tyan, Y. S., Liu, S. T., Tsai, M. S. & Pao, C. C. Detection of Epstein-Barr virus DNA sequences in nasopharyngeal carcinoma cells by enzymatic DNA amplification. J. Clin. Microbiol. 28, 2398–2402 (1990).
Hildesheim, A. & Levine, P. H. Etiology of nasopharyngeal carcinoma: a review. Epidemiol. Rev. 15, 466–485 (1993).
Lo, Y. M. et al. Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer Res. 59, 1188–1191 (1999).
Lin, J. C. et al. Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma. N. Engl. J. Med. 350, 2461–2470 (2004).
Shao, J. Y. et al. Comparison of plasma Epstein-Barr virus (EBV) DNA levels and serum EBV immunoglobulin A/virus capsid antigen antibody titers in patients with nasopharyngeal carcinoma. Cancer 100, 1162–1170 (2004).
Leung, S. F. et al. Plasma Epstein-Barr viral deoxyribonucleic acid quantitation complements tumor-node-metastasis staging prognostication in nasopharyngeal carcinoma. J. Clin. Oncol. 24, 5414–5418 (2006).
Shotelersuk, K. et al. Epstein-Barr virus DNA in serum/plasma as a tumor marker for nasopharyngeal cancer. Clin. Cancer Res. 6, 1046–1051 (2000).
Lo, Y. M. et al. Plasma cell-free Epstein-Barr virus DNA quantitation in patients with nasopharyngeal carcinoma. Correlation with clinical staging. Ann. N. Y. Acad. Sci. 906, 99–101 (2000).
Lo, Y. M. et al. Molecular prognostication of nasopharyngeal carcinoma by quantitative analysis of circulating Epstein-Barr virus DNA. Cancer Res. 60, 6878–6881 (2000).
Chan, K. C. & Lo, Y. M. Clinical applications of plasma Epstein-Barr virus DNA analysis and protocols for the quantitative analysis of the size of circulating Epstein-Barr virus DNA. Methods Mol. Biol. 336, 111–121 (2006).
Hislop, A. D., Taylor, G. S., Sauce, D. & Rickinson, A. B. Cellular responses to viral infection in humans: lessons from Epstein-Barr virus. Annu. Rev. Immunol. 25, 587–617 (2007).
Young, L. S. & Rickinson, A. B. Epstein-Barr virus: 40 years on. Nat. Rev. Cancer 4, 757–768 (2004).
Hislop, A. D., Annels, N. E., Gudgeon, N. H., Leese, A. M. & Rickinson, A. B. Epitope-specific evolution of human CD8(+) T cell responses from primary to persistent phases of Epstein-Barr virus infection. J. Exp. Med. 195, 893–905 (2002).
Hong, M. et al. Immunotherapy for EBV-Associated Nasopharyngeal Carcinoma. Crit. Rev. Oncog. 23, 219–234 (2018).
Marincola, F. M., Jaffee, E. M., Hicklin, D. J. & Ferrone, S. Escape of human solid tumors from T-cell recognition: molecular mechanisms and functional significance. Adv. Immunol. 74, 181–273 (2000).
Lei, L. et al. Percentage of circulating CD8+ T lymphocytes is associated with albuminuria in type 2 diabetes mellitus. Exp. Clin. Endocrinol. Diabetes 122, 27–30 (2014).
20Zhang, W. et al. The clinical utility of plasma Epstein-Barr virus DNA assays in nasopharyngeal carcinoma: the dawn of a new era? A systematic review and meta-analysis of 7836 cases. Medicine (Baltimore) 94, e845 (2015).
Wang, H. M. et al. Correlation between overall survival and differential plasma and tissue tumor marker expression in nasopharyngeal carcinoma patients with different sites of organ metastasis. Oncotarget 7, 53217–53229 (2016).
Chen, L. J., Lv, J., Wen, X. Y. & Niu, J. Q. CXC chemokine IP-10: a key actor in liver disease?. Hepatol. Int. 7, 798–804 (2013).
Toiyama, Y. et al. Evaluation of CXCL10 as a novel serum marker for predicting liver metastasis and prognosis in colorectal cancer. Int. J. Oncol. 40, 560–566 (2012).
Liu, X. et al. Prognostic value of chronic hepatitis B virus infection in patients with nasopharyngeal carcinoma: analysis of 1301 patients from an endemic area in China. Cancer 120, 68–76 (2014).
Xu, T. et al. Clinical implications of hepatitis B viral infection in Epstein-Barr virus-associated nasopharyngeal carcinoma. J. Clin. Virol. 64, 64–71 (2015).
Wei, X. L. et al. The status of HBV infection influences metastatic pattern and survival in Chinese patients with pancreatic cancer. J. Transl. Med. 11, 249 (2013).
Qiu, H. B. et al. HBV infection decreases risk of liver metastasis in patients with colorectal cancer: a cohort study. World J. Gastroenterol. 17, 804–808 (2011).
Kanegane, H., Nomura, K., Miyawaki, T. & Tosato, G. Biological aspects of Epstein-Barr virus (EBV)-infected lymphocytes in chronic active EBV infection and associated malignancies. Crit. Rev. Oncol. Hematol. 44, 239–249 (2002).
Li, Q. X. et al. Epstein-Barr virus infection and replication in a human epithelial cell system. Nature 356, 347–350 (1992).
Wen, S., Mizugaki, Y., Shinozaki, F. & Takada, K. Epstein-Barr virus (EBV) infection in salivary gland tumors: lytic EBV infection in nonmalignant epithelial cells surrounded by EBV-positive T-lymphoma cells. Virology 227, 484–487 (1997).
Pattle, S. B. & Farrell, P. J. The role of Epstein-Barr virus in cancer. Expert Opin. Biol. Ther. 6, 1193–1205 (2006).
Adam, J. K., Odhav, B. & Bhoola, K. D. Immune responses in cancer. Pharmacol. Ther. 99, 113–132 (2003).
Chen, Q. et al. Changes in plasma EBV-DNA and immune status in patients with nasopharyngeal carcinoma after treatment with intensity-modulated radiotherapy. Diagn. Pathol. 14, 23 (2019).
Peng, L. et al. Relationship between pretreatment concentration of plasma Epstein-Barr virus DNA and tumor burden in nasopharyngeal carcinoma: an updated interpretation. Cancer Med. 7, 5988–5998 (2018).
35Tsao, S. W., Tsang, C. M. & Lo, K. W. Epstein-Barr virus infection and nasopharyngeal carcinoma. Philos. Trans. R Soc. Lond. B Biol. Sci. 372 (2017).
Williams, H. et al. The immune response to primary EBV infection: a role for natural killer cells. Br. J. Haematol. 129, 266–274 (2005).
Wang, W. Y. et al. Plasma EBV DNA clearance rate as a novel prognostic marker for metastatic/recurrent nasopharyngeal carcinoma. Clin. Cancer Res. 16, 1016–1024 (2010).
Acknowledgments
This study was supported by grants from the Chongqing Natural Science Foundation Project of (cstc2018jcyjAX0806, cstc2018jcyjAX0741); Chongqing Research Institute Performance Incentive Guide Special Project (cstc2017jxjl130016); Chongqing Science and Technology Innovation Guidance Project Led by Academician (cstc2017jcyj-yszxX0014); National Natural Science Foundation of China (81802740); Science and Technology Research Project of Chongqing Education Commission (KJQN201900104). The “1110” Talent Strategy Plan of Chongqing University Cancer Hospital.
Author information
Authors and Affiliations
Contributions
D.T., N.N.Z., Y.W. designed the study. Q.Q.H., C.G., Q.C.L., J.D.S., C.W., X.Z., S.J.L, K.G.W., and Q.S.G collected the clinical data. D.T. and N.N.Z. performed all the statistical analyses. C.G. provided technical support. D.T. and N.N.Z. wrote the paper. D.T., N.N.Z., Y.W., Q.Q.H., Q.C.L., and J.D.S., reviewed the manuscript. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Tao, D., Zhang, N., Huang, Q. et al. Association of Epstein-Barr virus infection with peripheral immune parameters and clinical outcome in advanced nasopharyngeal carcinoma. Sci Rep 10, 21976 (2020). https://doi.org/10.1038/s41598-020-78892-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-020-78892-0
- Springer Nature Limited