Purpose: Extranodal NK/T-cell lymphoma, nasal type (ENKL) is an Epstein–Barr virus (EBV)–associated lymphoma for which a new chemotherapeutic regimen called SMILE (steroid, methotrexate, ifosfamide, l-asparaginase, and etoposide) recently showed promising results.

Experimental Design: The amount of EBV-DNA was prospectively measured in whole-blood and plasma samples by real-time quantitative PCR from 26 patients registered in the SMILE phase II study.

Results: Before treatment, the EBV-DNA was detected in 22 samples of whole blood with a median number of 3,691 copies/mL (range: 0–1.14 × 107), but 15 samples of plasma with a median of 867 copies/mL (range: 0–1.27 × 107). Results of these 2 measurements of EBV-DNA well correlated (R2 = 0.994, P < 0.001). The overall response rate to SMILE was significantly higher in patients with less than 105 copies/mL of EBV-DNA in whole blood at enrollment (90% vs. 20%, P = 0.007) and in patients with less than 104 copies/mL of EBV-DNA in plasma (95% vs. 29%, P = 0.002). The incidence of grade 4 toxicity of SMILE other than leukopenia/neutropenia was significantly higher in patients with 105 copies/mL of EBV-DNA or more in whole blood (100% vs. 29%, P = 0.007) than that of others and in patients with 104 copies/mL or more in plasma (86% vs. 26%, P = 0.002).

Conclusions: These findings suggest that whole blood is more sensitive for clinical use than plasma. The EBV-DNA amount in whole blood was useful for predicting tumor response, toxicity, and prognosis after SMILE chemotherapy for ENKL. Clin Cancer Res; 18(15); 4183–90. ©2012 AACR.

Translational Relevance

Peripheral blood of patients with extranodal NK-cell lymphoma, nasal type (ENKL) contains fragmented Epstein–Barr virus (EBV)-DNA. The amount of EBV-DNA can be a good marker for estimating the tumor burden and prognosis of ENKL patients. We recently developed a novel chemotherapeutic regimen, SMILE, comprising steroid, methotrexate, ifosfamide, l-asparaginase, and etoposide. The tumor response rate and survival rate was dramatically improved. However, it is known that the prognostic significance of certain factors may vary when the treatment modality changes. Therefore, the significance of EBV-DNA was analyzed in this study. Consequently, pretreatment whole blood and plasma EBV-DNA were predictive of response and prognosis. Multivariate analysis showed that plasma EBV-DNA was a significant prognostic factor. Furthermore, the EBV-DNA load was also predictive of adverse events by chemotherapy. Prediction of toxicity is particularly important for the SMILE regimen because it is excessively toxic for some patients.

Epstein–Barr virus (EBV) causes a variety of benign and neoplastic diseases, including infectious mononucleosis, posttransplantation lymphoproliferative disorder (PTLD) and EBV-associated malignancies such as lymphomas, including extranodal NK/T-cell lymphoma, nasal type (ENKL), Hodgkin lymphoma, Burkitt lymphoma, age-associated large B-cell lymphoma, and several other T-cell lymphomas (1–3). ENKL is a rare subtype of non-Hodgkin lymphoma, mainly occurs in the nasal/paranasal area, skin, or gastrointestinal tract and is much more common in Asia and Latin America than in Western countries (4–6). The prognosis of ENKL was poor under conventional radiotherapy and/or chemotherapy (4, 7) but has recently improved by concurrent chemoradiotherapy (8, 9) or newly developed SMILE chemotherapy, comprising the steroid dexamethasone, methotrexate, ifosfamide, l-asparaginase, and etoposide (10, 11).

This type of lymphoma is invariably associated with episomal infection of EBV in the tumor cells, which implies its tumorigenic role. The presence of EBV-DNA in peripheral blood has been used as a surrogate marker for estimating tumor amount in several EBV-associated malignancies (12–14). In particular, after organ transplantation, increasing loads of EBV in whole blood, lymphocytes, and plasma are associated with corresponding increases in the risk of PTLD (14). For nasopharyngeal carcinoma, plasma EBV-DNA load is known to be useful for monitoring disease activity and predicting the outcome of treatment (15, 16). The disease activity and prognosis of ENKL can also be monitored by measuring circulating EBV-DNA in plasma (17). For patients registered to the SMILE phase II study, we simultaneously conducted a prospective observational study, SMILE-EBV study, in which the amounts of EBV-DNA in whole blood and plasma were evaluated for ENKL.

Study design

The aim of this study is to evaluate the copy numbers of EBV-DNA from whole blood and plasma in patients with ENKL who received SMILE chemotherapy. The predictive value of EBV-DNA for tumor response, toxicity, and prognosis was analyzed, as well as the preference of samples from whole blood or plasma. The eligibility criteria, treatment, and response were described in the report of the phase II study (11). EBV-encoded small RNA (EBER) in situ hybridization positivity was counted in accordance with our previous study (18). A total of 38 patients were enrolled: 26 from Japan, 6 from Hong Kong, and 6 from South Korea. The amounts of EBV-DNA were measured in whole-blood and plasma samples from patients participating in this phase II study at 3 time points: before the treatment, after 2 courses of SMILE and after a series of treatments. Because of the lack of an international standardized method for quantification of EBV-DNA, the 26 patients from Japan were the subjects for this study. All samples were measured in a central laboratory. Registration onto the study was conducted by facsimile from the participating institutes to the C-SHOT Data Center (Nagoya, Japan), simultaneously with the entry into the SMILE study. The study was approved by both the Protocol Review Committee and the Institutional Review Board of each institution in Japan. Written informed consent was obtained from all of the patients. The study was registered with the University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR number, UMIN000000741), as an associated but separate study of SMILE phase II (UMIN-CTR number, UMIN000000712).

Response and toxicity criteria

Complete response was defined as the complete disappearance of all objective signs of disease, including enlarged lymph nodes or hepatomegaly and splenomegaly at restaging. Partial response was defined as at least a 50% reduction of tumor volume without the occurrence of new lesions at restaging. Progressive disease was defined as a greater than 25% increase in the sum of tumor lesions or the emergence of one or more new lesions or clinical symptoms that indicate disease progression. No response was defined as any response that did not fall into the categories defined above. If a patient died of any cause before day 42 of the second course of SMILE and could not undergo the defined restaging procedure, the patient's response was recorded as early death. The overall response rate (ORR) was defined as the proportion of all patients who could be evaluated for response who experienced complete or partial response. Toxicity was graded according to the Common Terminology Criteria for Adverse Events v3.0.

Quantification of EBV-DNA

A 5-mL patient peripheral blood was obtained, sent to the central laboratory (Nagoya University Graduate School of Medicine), and divided into whole-blood and plasma samples. DNA was extracted from 200 μL of either whole blood or plasma, using QIAamp DNA blood kits (Qiagen K.K.). A real-time quantitative PCR assay was carried out and the result was expressed as copies per 1 mL of sample, as previously described (19, 20). The minimum detection level was 2 copies per reaction that was equivalent to 100 copies/mL for whole blood or plasma.

Statistical analysis

Regression analysis compared the copy numbers in whole blood and plasma. Fisher exact test was used to compare the responses or toxicities to the SMILE chemotherapy. Mann–Whitney U test and Kruskal–Wallis test were used to compare the levels of EBV-DNA between patient groups. Cut-off value of the categorization by EBV-DNA levels were determined by the receiver operating characteristic analysis. Patient survival data were analyzed by the method of Kaplan and Meier and were compared by log-rank test. Univariate and multivariate analyses were carried out using Cox proportional hazard model. Data were analyzed with STATA version 11 and SPSS (SPSS) software.

Patient characteristics

The baseline characteristics of 26 eligible patients are listed in Table 1. The median age was 46.5 (range: 17–67) years, and the male:female ratio was 14:12. Twelve patients (46%) had newly diagnosed stage IV disease, 11 were in first relapse, and 3 were in the primary refractory status. EBER in situ hybridization was positive in all specimens, with a median positivity of 68% (range: 12%–96%) of lymphoma cells.

Table 1.

Baseline patient characteristics (N = 26)

CharacteristicNo. of patients (%)
Age, y 
 Median 46.5 
 Range 17–67 
Sex 
 Male 14 (54) 
 Female 12 (46) 
Disease state 
 Newly diagnosed stage IV 12 (46) 
 First relapse 11 (42) 
 Refractory to the first-line treatment 3 (12) 
“B” symptoms present 11 (42) 
Elevated serum LDH 7 (27) 
Performance status 
 0 16 (61) 
 1 5 (19) 
 2 5 (19) 
Detection of EBV-DNA in blood samples before treatment 
 Whole blood +, Plasma + 14 (54) 
 Whole blood +, Plasma − 8 (31) 
 Whole blood −, Plasma + 1 (4) 
 Whole blood −, Plasma − 3 (12) 
CharacteristicNo. of patients (%)
Age, y 
 Median 46.5 
 Range 17–67 
Sex 
 Male 14 (54) 
 Female 12 (46) 
Disease state 
 Newly diagnosed stage IV 12 (46) 
 First relapse 11 (42) 
 Refractory to the first-line treatment 3 (12) 
“B” symptoms present 11 (42) 
Elevated serum LDH 7 (27) 
Performance status 
 0 16 (61) 
 1 5 (19) 
 2 5 (19) 
Detection of EBV-DNA in blood samples before treatment 
 Whole blood +, Plasma + 14 (54) 
 Whole blood +, Plasma − 8 (31) 
 Whole blood −, Plasma + 1 (4) 
 Whole blood −, Plasma − 3 (12) 

Amount of EBV-DNA and correlation between whole blood and plasma

EBV-DNA was detected in 22 samples of whole blood (median: 3.7 × 103, range: 0–1.1 × 107 copies/mL) and 15 samples of plasma (median: 8.7 × 102, range: 0–1.3 × 107 copies/mL). The level of EBV-DNA was not different among the 3 disease state (newly diagnosed, relapsed or refractory) groups at enrollment both in whole blood (P = 0.19 by Kruskal–Wallis test) and in whole blood (P = 0.22). An inconsistent result was seen in 9 patients. EBV-DNA was positive in whole blood but was negative in plasma in 8 patients. Conversely, in another patient, the EBV-DNA was only detected in plasma. EBV-DNA was not detected in either whole blood or plasma in 3 patients (nos. 9, 23, and 25). The concordance rate between whole blood and plasma was 65% (17 of 26). The viral DNA copy numbers were compared between whole blood and plasma before SMILE chemotherapy. A strong correlation was found between the amounts in whole blood and those in plasma (r = 0.997, P < 0.001, Fig. 1). No differences were found for the EBV-DNA level among patients with newly diagnosed stage IV, relapsed and refractory status (P = 0.19 for whole blood and P = 0.24 for plasma). No significant correlation was found between EBER positivity and plasma or whole blood EBV-DNA level (Supplementary Fig. S1).

Figure 1.

Comparison of EBV-DNA copies between whole blood and plasma in patients with ENKL who received SMILE chemotherapy. The EBV-DNA concentrations in whole blood or in plasma from the patients were measured using real-time PCR assay before SMILE chemotherapy. Dotted lines show the detection limits indicating 100 copies/mL of plasma or whole blood.

Figure 1.

Comparison of EBV-DNA copies between whole blood and plasma in patients with ENKL who received SMILE chemotherapy. The EBV-DNA concentrations in whole blood or in plasma from the patients were measured using real-time PCR assay before SMILE chemotherapy. Dotted lines show the detection limits indicating 100 copies/mL of plasma or whole blood.

Close modal

Dynamic changes of EBV loads in whole blood and plasma before and after treatment

EBV loads in whole blood or plasma from the 16 patients (8 with complete response, 7 with partial response, and 1 with progressive disease) were measured before the treatment, after 2 courses of SMILE chemotherapy, and after a series of treatments. Viral load declined in most patients with complete response or partial response after 2 courses of SMILE chemotherapy and/or after a series of treatments (Fig. 2). However, 5 patients with complete or partial response did not show the decrease of viral load. Of these, 2 patients experienced disease recurrence, and another patient died of transplant-related mortality in complete response. Other 2 patients maintained response at the time of last follow-up.

Figure 2.

Serial analysis of EBV loads in blood samples from the patients with ENKL. The EBV-DNA concentrations in whole blood or in plasma from the patients were measured using real-time PCR assay before SMILE chemotherapy, after 2 courses of SMILE chemotherapy and after a series of treatments. A, viral loads in whole blood in patients with complete response. B, viral loads in plasma in patients with complete response. C, viral loads in whole blood in patients with partial response. D, viral loads in plasma in patients with partial response. Dotted lines show the detection limits indicating 100 copies/mL of plasma or whole blood. CR, complete response; PR, partial response.

Figure 2.

Serial analysis of EBV loads in blood samples from the patients with ENKL. The EBV-DNA concentrations in whole blood or in plasma from the patients were measured using real-time PCR assay before SMILE chemotherapy, after 2 courses of SMILE chemotherapy and after a series of treatments. A, viral loads in whole blood in patients with complete response. B, viral loads in plasma in patients with complete response. C, viral loads in whole blood in patients with partial response. D, viral loads in plasma in patients with partial response. Dotted lines show the detection limits indicating 100 copies/mL of plasma or whole blood. CR, complete response; PR, partial response.

Close modal

Correlation of the amount of EBV-DNA in blood samples and response or toxicities to the therapy

Among the 26 patients, there were 12 patients with complete response, 8 with partial response, 1 with no response, 3 with progressive disease, and 2 with early death (Table 2), and the ORR was 77%. For patients with less than 105 copies/mL of EBV-DNA in whole blood, the ORR was 90% (19 of 21), but was 20% (1 of 5) in patients with 105 copies/mL or more (P = 0.005). In addition, the ORR was 95% (18 of 19) in patients with less than 104 copies/mL of EBV-DNA in plasma, but was 29% (2 of 7) in patients with 105 copies/mL or more (P = 0.002). All 3 patients without detectable EBV-DNA in either whole blood or plasma attained complete response. The amounts of EBV-DNA before treatment were not significantly different between patients with complete response and those with partial response (whole blood, P = 0.82; plasma, P = 0.68).

Table 2.

Correlation of the levels of EBV-DNA and response/adverse events to SMILE chemotherapy for newly diagnosed stage IV, relapsed or refractory ENKL

Whole blood EBV-DNAPlasma EBV-DNA (copies/mL)
≥105 copies/mL<105 copies/mLP≥104 copies/mL<104 copies/mLP
Response 
 CR 11 0.005 10 0.002 
 PR   
 NR   
 PD   
 ED   
Adverse event 
 Any grade 4a 0.007 0.002 
 No grade 4 15  14  
Whole blood EBV-DNAPlasma EBV-DNA (copies/mL)
≥105 copies/mL<105 copies/mLP≥104 copies/mL<104 copies/mLP
Response 
 CR 11 0.005 10 0.002 
 PR   
 NR   
 PD   
 ED   
Adverse event 
 Any grade 4a 0.007 0.002 
 No grade 4 15  14  

Abbreviations: CR, complete response; ED, early death; PD, progressive disease; PR, partial response; NR, No response.

aGrade 4 adverse events other than leukopenia and neutropenia.

Grade 4 leukopenia (77%) and neutropenia (88%) were commonly observed. Grade 4 anemia was encountered in one patient and thrombocytopenia was seen in 9 patients. The nonhematologic grade 4 toxicities included infection (n = 2), alanine aminotransferase elevation (n = 1), and encephalopathy (n = 1); 3 patients experienced grade 4 somnolence, which was complicated by a grade 3 infection in one patient and by grade 4 encephalopathy in another patient. One patient experienced grade 2 pancreatitis and had complications from grade 4 hyponatremia, hyperamylasemia, and appetite loss. Grade 4 toxicity other than leukopenia/neutropenia was significantly higher in patients with 105 copies/mL of EBV-DNA or more in whole blood (100% vs. 29%, P = 0.007). Grade 4 toxicity other than leukopenia/neutropenia was also significantly higher in patients with 104 copies/mL of EBV-DNA or more in plasma (86% vs. 26%, P = 0.002; Table 2).

Prognostic significance of EBV-DNA

Patients with 105 copies/mL of EBV-DNA or more in whole blood showed significantly lower survival than those with less than 105 copies/mL (Fig. 3A, P < 0.0001). Similarly, the prognosis of patients with 104 copies/mL of EBV-DNA or more in plasma was significantly worse than that in those with less than 104 copies/mL (Fig. 3B, P < 0.0001). EBER positivity of more than 75% was also a factor associated with poor prognosis (Fig. 3C). Plasma and whole blood EBV-DNA before SMILE chemotherapy were significant prognostic factors for overall survival by univariate analysis, as well as serum lactate dehydrogenase (LDH) elevation, B symptom, and EBER positivity (Table 3). Multivariate analysis showed that LDH elevation [HR, 8.5; 95% confidence interval (CI), 1.9–38.0] and pretreatment whole blood EBV-DNA (HR, 65.5; 95% CI, 5.3–813.7) were significant prognostic factors. Plasma EBV-DNA was not prognostic (HR, 3.90; 95% CI, 0.70–21.8) if adjusted by LDH elevation using multivariate analysis. EBER positivity showed marginal significance (HR, 3.3; 95% CI, 0.95–11.8) if included in the model with LDH elevation.

Figure 3.

Survival of patients with ENKL who received SMILE chemotherapy by EBV parameters. A, overall survival was significantly lower for patients with a whole blood EBV-DNA level of 105 copies/mL or more (P < 0.0001). B, overall survival was significantly lower for patients with a plasma EBV-DNA level of 104 copies/mL or more (P < 0.0001). C, overall survival was significantly lower for patients with EBER positivity of more than 75% (P = 0.02).

Figure 3.

Survival of patients with ENKL who received SMILE chemotherapy by EBV parameters. A, overall survival was significantly lower for patients with a whole blood EBV-DNA level of 105 copies/mL or more (P < 0.0001). B, overall survival was significantly lower for patients with a plasma EBV-DNA level of 104 copies/mL or more (P < 0.0001). C, overall survival was significantly lower for patients with EBER positivity of more than 75% (P = 0.02).

Close modal
Table 3.

Prognostic factors affecting overall survival

UnivariateMultivariatea
VariablesUnfavorable factorsHazard ratio (CI)PHazard ratio (CI)P
Age >50 years 0.5 (0.2–1.9) 0.33 —  
LDH level Elevated 8.6 (2.4–30.4) 0.001 8.5 (1.9–38.1) 0.005 
B symptom Present 5.0 (1.3–19.0) 0.02 —  
WB EBV-DNA ≥105 copies/mL 53.2 (5.9–482.0) <0.001 65.5 (5.3–813.7) 0.001 
Plasma EBV-DNA ≥104 copies/mL 10.3 (2.9–36.3) <0.001 —  
EBER >75% 4.0 (1.2–13.7) 0.03 —  
UnivariateMultivariatea
VariablesUnfavorable factorsHazard ratio (CI)PHazard ratio (CI)P
Age >50 years 0.5 (0.2–1.9) 0.33 —  
LDH level Elevated 8.6 (2.4–30.4) 0.001 8.5 (1.9–38.1) 0.005 
B symptom Present 5.0 (1.3–19.0) 0.02 —  
WB EBV-DNA ≥105 copies/mL 53.2 (5.9–482.0) <0.001 65.5 (5.3–813.7) 0.001 
Plasma EBV-DNA ≥104 copies/mL 10.3 (2.9–36.3) <0.001 —  
EBER >75% 4.0 (1.2–13.7) 0.03 —  

aFinal model.

For EBV-associated malignancies, the significance placed on EBV-DNA in peripheral blood as a biomarker has increased in recent decades. Previous studies have reported that the level of EBV-DNA in a peripheral blood compartment is a useful biomarker in EBV-associated malignancies (14, 21). Lei and colleagues found a significant reduction of plasma EBV-DNA in patients with EBV-associated lymphoid malignancies (Hodgkin lymphoma, nasal NK/T cell lymphoma, PTLD, and Burkitt lymphoma) during the course of effective therapy (21). In addition, disease progression was associated with a rapid increase in plasma EBV-DNA levels in patients with ineffective therapy. Gandhi and colleagues showed that EBV-DNA is specifically detected in plasma of EBV-positive Hodgkin lymphoma patients before treatment (22). Viral DNA was undetectable following therapy in responsive patients and patients with long-term remission. Patients who experienced relapse had a significantly higher plasma EBV-DNA concentration before treatment. The plasma DNA concentration was persistently low or undetectable in patients with complete clinical remission. Overall survival and relapse-free survival were significantly higher for patients with a pretreatment plasma EBV-DNA level of less than 1,500 copies/mL. Au and colleagues reported that plasma EBV-DNA level is valuable as a tumor biomarker and for prognostication in EBV-positive lymphoma (17). EBV-DNA in plasma became undetectable for patients in remission but was elevated for those with refractory disease. A high level of EBV-DNA was significantly associated with inferior overall survival by multivariate analysis. Subgroup analysis of NK cell lymphoma showed that the level of EBV-DNA was also correlated with disease stage. Presentation of a high level of EBV-DNA was also significantly associated with inferior overall survival by multivariate analysis in their cohort. Prognostic factors of lymphoma may change when the treatment modality changes (23). In this study, however, EBV-DNA copy number in plasma or whole blood was also predictive of response and survival of ENKL patients who received SMILE chemotherapy, in agreement with other observations in the literature.

Another novel finding is that severe adverse events of the chemotherapy were also predictable using the EBV-DNA amount, which has not been identified by other studies in the literature. This analysis is only possible by examining patients who receive exactly the same treatment, ideally subjects of prospective studies. Because the level of EBV-DNA was not different by the 3 disease status groups (newly diagnosed, relapsed, or refractory), we examined the patients together in this study. As an interpretation of this finding, patients with higher tumor burden may experience more severe toxicity because of poor general condition or tissue damage by the tumor. Another hypothesis is that the toxicity by chemotherapy is mediated by certain toxic substances in tumor cells. Because NK cells possess cytotoxic activities, almost all ENKL have cytotoxic molecules such as perforin or granzymes. In several EBV-associated malignancies, the high viral load may be explained by the tumor releasing viral components (24, 25). Toxic substances that are released from tumor cells degraded by chemotherapy such as SMILE, although they may not be cytotoxic molecules, may contribute to the high rate of adverse reactions after chemotherapy. Whatever the reason, measurement of EBV-DNA may be helpful for patient stratification to avoid excessive toxicity because the myelosuppressive adverse reaction of SMILE is rather profound for a part of patients.

Plasma is used as samples in most studies for evaluating EBV-DNA as a biomarker in EBV-associated disease (13–17, 22). However, controversies exist as to which blood compartment should be used for measuring EBV because several compartments of blood, whole blood, peripheral blood mononuclear cells, plasma, and serum can be used in the studies. Our previous study compared the usefulness of plasma and mononuclear cells for detecting EBV-DNA in ENKL patients, although the treatment was not unified (16). For the diagnosis of EBV-associated PTLD, earlier studies used peripheral blood mononuclear cells because EBV infection occurs in this cell compartment (26, 27). Plasma or serum samples are readily obtained and widely used for diagnosing EBV-associated PTLD; however, the sensitivity seemed to be low (28, 29). Several reports have revealed that whole blood, containing both cellular and humoral compartments, is better than plasma/serum when testing patients with PTLD (20, 30, 31). Recently, Spacek and colleagues reported that plasma is better than whole blood for the monitoring and estimation of prognosis for Hodgkin lymphoma (32). Plasma samples may be recommended as a biomarker of disease activity rather than peripheral blood mononuclear cells in patients with Hodgkin lymphoma, as shown in another study (20). However, comparison among each blood compartment has not been well investigated. Useful compartments may differ among diseases (14). In this study, the levels of EBV-DNA in plasma were compared with those in whole blood. Although strong correlation was detected between the viral copy numbers in whole blood and those in plasma, EBV-DNA was more frequently detected in whole-blood samples before treatment. Notably, EBV-DNA was only detected in whole blood in 8 patients, whereas it was only positive in plasma in one patient. This suggests that whole blood is more suitable than plasma to examine the EBV-DNA for ENKL. The reason for the phenomenon that EBV-DNA was only detected in whole blood remains undetermined. Among such 8 patients in this study, only 4 patients showed bone marrow involvement, and none accompanied leukemic presentation. The only possible explanation is that EBV-DNA might be lost or degraded in the fractionation procedure. Another point of interest is that EBV-DNA was not detected in either whole blood or plasma in 3 patients, although EBER was positive in tissue samples. Therefore, EBV-DNA detection in peripheral blood cannot be used as an alternative to the histologic detection of EBV or the diagnosis of ENKL. Moreover, the levels of 105 copies/mL of EBV-DNA in whole blood and 104 copies/mL of EBV-DNA in plasma seem to be cut-off values: the patients with copy numbers lower than these showed significantly better outcome. These 2 copy numbers also showed clinical value to predict severe adverse events.

In conclusion, our study indicates that the level of EBV-DNA in plasma or whole blood can predict response and adverse events of SMILE chemotherapy for newly diagnosed stage IV, relapsed, or refractory ENKL. Whole-blood samples were more suitable for this purpose, although plasma was preferable for other purposes such as diagnosis of EBV infection.

R. Suzuki received honoraria from Kyowa-Hakko Kirin Company. K. Oshimi is currently an employee of Eisai Pharmaceutical Co., Ltd. (Tokyo, Japan). No potential conflicts of interest were disclosed by the other authors.

Conception and design: M. Yamaguchi, J. Suzumiya, K. Kawa, K. Oshimi, R. Suzuki

Development of methodology: H. Kimura, K. Oshimi

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): Y. Ito, Y. Maeda, C. Hashimoto, F. Ishida, K. Izutsu, N. Fukushima, Y. Isobe, Y. Hasegawa, S. Okamura, H. Kobayashi, R. Hyo

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): Y. Ito, F. Ishida, M. Yamaguchi, K. Oshimi, R. Suzuki

Writing, review, and/or revision of the manuscript: Y. Ito, H. Kimura, Y. Maeda, F. Ishida, K. Izutsu, Y. Isobe, M. Yamaguchi, K. Oshimi, R. Suzuki

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): Y. Ito, H. Kimura, J. Takizawa, S. Nakamura, K. Oshimi, R. Suzuki

Study supervision: K. Kawa, K. Oshimi, R. Suzuki

The authors thank staff at all participating institutions in this study: Tokyo Medical and Dental University, Kanagawa Cancer Center, Yokohama City University, Okayama University, Obihiro Kosei Hospital, Saga University, Yamanashi University, Shinshu University, NTT Medical Center Tokyo, Fukushima Prefectural Medical College, Kurashiki Central Hospital, Niigata University, Kyushu Medical Center, Nagano Red Cross Hospital, Tsukuba University, and Juntendo University.

The authors also thank the members of Central Pathology Review Board (Drs. Koichi Ohshima at Kurume University and Kengo Takeuchi at Cancer Institute), Central Imaging Review Board (Drs. Takao Kodama and Takanori Yano at Miyazaki University, and Yosuke Kakitsubata at Miyazaki Konan Hospital), and Data and Safety Monitoring Committee (Drs. Jin Takeuchi at Nihon University, Keizo Horibe at Nagoya Medical Center, and Keitaro Matsuo at Aichi Cancer Center) and Ms. Fumiyo Ando for excellent technical support for real-time quantitative PCR assay.

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.

1.
Rickinson
AB
,
Kieff
E
. 
Epstein-Barr Virus
.
In
:
Knipe
DM
,
Howley
PM
,
eds
. 
Fields Virology
.
Philadelphia
:
Lippincott Williams & Wilkins
; 
2007
:
2655
700
.
2.
Cohen
JI
. 
Epstein-Barr virus infection
.
New Engl J Med
2000
;
343
:
481
92
.
3.
Williams
H
,
Crawford
DH
. 
Epstein-Barr virus: the impact of scientific advances on clinical practice
.
Blood
2006
;
107
:
862
9
.
4.
Chan
JKC
,
Quintanilla-Martinez
L
,
Ferry
JA
,
Peh
S-C
. 
Extranodal NK/T-cell lymphoma, nasal type
.
In
:
Swerdlow
SH
,
Campo
E
,
Harris
NL
,
Jaffe
ES
,
Pileri
SA
,
Stein
H
, et al
,
eds
. 
WHO classification of tumors of haematopoietic and lymphoid tissues
.
Lyon, France
:
IARC
; 
2008
:
285
8
.
5.
Au
WY
,
Weisenburger
DD
,
Intragumtornchai
T
,
Nakamura
S
,
Kim
WS
,
Sng
I
, et al
Clinical differences between nasal and extranasal natural killer/T-cell lymphoma: a study of 136 cases from the International Peripheral T-Cell Lymphoma Project
.
Blood
2009
;
113
:
3931
7
.
6.
Suzuki
R
,
Suzumiya
J
,
Yamaguchi
M
,
Nakamura
S
,
Kameoka
J
,
Kojima
H
, et al
Prognostic factors for mature natural killer (NK) cell neoplasms: aggressive NK cell leukemia and extranodal NK cell lymphoma, nasal type
.
Ann Oncol
2010
;
21
:
1032
40
.
7.
Oshimi
K
. 
Progress in understanding and managing natural killer-cell malignancies
.
Br J Haematol
2007
;
139
:
532
44
.
8.
Yamaguchi
M
,
Tobinai
K
,
Oguchi
M
,
Ishizuka
N
,
Kobayashi
Y
,
Isobe
Y
, et al
Phase I/II study of concurrent chemoradiotherapy for localized nasal natural killer/T-cell lymphoma: Japan Clinical Oncology Group Study JCOG0211
.
J Clin Oncol
2009
;
27
:
5594
600
.
9.
Kim
SJ
,
Kim
K
,
Kim
BS
,
Kim
CY
,
Suh
C
,
Huh
J
, et al
Phase II trial of concurrent radiation and weekly cisplatin followed by VIPD chemotherapy in newly diagnosed, stage IE to IIE, nasal, extranodal NK/T-Cell Lymphoma: Consortium for Improving Survival of Lymphoma study
.
J Clin Oncol
2009
;
27
:
6027
32
.
10.
Yamaguchi
M
,
Suzuki
R
,
Kwong
YL
,
Kim
WS
,
Hasegawa
Y
,
Izutsu
K
, et al
Phase I study of dexamethasone, methotrexate, ifosfamide, L-asparaginase, and etoposide (SMILE) chemotherapy for advanced-stage, relapsed or refractory extranodal natural killer (NK)/T-cell lymphoma and leukemia
.
Cancer Sci
2008
;
99
:
1016
20
.
11.
Yamaguchi
M
,
Kwong
YL
,
Kim
WS
,
Maeda
Y
,
Hashimoto
C
,
Suh
C
, et al
Phase II study of SMILE chemotherapy for newly diagnosed stage IV, relapsed, or refractory extranodal natural killer (NK)/T-cell lymphoma, nasal type: the NK-cell tumor study group study
.
J Clin Oncol
2011
;
29
:
4410
6
.
12.
Lei
KI
,
Chan
LY
,
Chan
WY
,
Johnson
PJ
,
Lo
YM
. 
Quantitative analysis of circulating cell-free Epstein-Barr virus (EBV) DNA levels in patients with EBV-associated lymphoid malignancies
.
Br J Haematol
2000
;
111
:
239
46
.
13.
Chan
KCA
,
Zhang
J
,
Chan
ATC
,
Lei
KIK
,
Leung
S-F
,
Chan
LYS
, et al
Molecular characterization of circulating EBV DNA in the plasma of nasopharyngeal carcinoma and lymphoma patients
.
Cancer Res
2003
;
63
:
2028
32
.
14.
Kimura
H
,
Ito
Y
,
Suzuki
R
,
Nishiyama
Y
. 
Measuring Epstein-Barr virus (EBV) load: the significance and application for each EBV-associated disease
.
Rev Med Virol
2008
;
18
:
305
19
.
15.
Lin
JC
,
Wang
WY
,
Chen
KY
,
Wei
YH
,
Liang
WM
,
Jan
JS
, et al
Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma
.
N Engl J Med
2004
;
350
:
2461
70
.
16.
Chan
KC
,
Leung
SF
,
Yeung
SW
,
Chan
AT
,
Lo
YM
. 
Quantitative analysis of the transrenal excretion of circulating EBV DNA in nasopharyngeal carcinoma patients
.
Clin Cancer Res
2008
;
14
:
4809
13
.
17.
Au
WY
,
Pang
A
,
Choy
C
,
Chim
CS
,
Kwong
YL
. 
Quantification of circulating Epstein-Barr virus (EBV) DNA in the diagnosis and monitoring of natural killer cell and EBV-positive lymphomas in immunocompetent patients
.
Blood
2004
;
104
:
243
9
.
18.
Suzuki
R
,
Yamaguchi
M
,
Izutsu
K
,
Yamamoto
G
,
Takada
K
,
Harabuchi
Y
, et al
Prospective measurement of Epstein-Barr virus-DNA in plasma and peripheral blood mononuclear cells of extranodal NK/T-cell lymphoma, nasal type
.
Blood
2011
;
118
:
6018
22
.
19.
Kimura
H
,
Morita
M
,
Yabuta
Y
,
Kuzushima
K
,
Kato
K
,
Kojima
S
, et al
Quantitative analysis of Epstein-Barr virus load by using a real-time PCR assay
.
J Clin Microbiol
1999
;
37
:
132
6
.
20.
Wada
K
,
Kubota
N
,
Ito
Y
,
Yagasaki
H
,
Kato
K
,
Yoshikawa
T
, et al
Simultaneous quantification of Epstein-Barr virus, cytomegalovirus, and human herpesvirus 6 DNA in samples from transplant recipients by multiplex real-time PCR assay
.
J Clin Microbiol
2007
;
45
:
1426
32
.
21.
Lei
KI
,
Chan
LY
,
Chan
WY
,
Johnson
PJ
,
Lo
YM
. 
Diagnostic and prognostic implications of circulating cell-free Epstein-Barr virus DNA in natural killer/T-cell lymphoma
.
Clin Cancer Res
2002
;
8
:
29
34
.
22.
Gandhi
MK
,
Lambley
E
,
Burrows
J
,
Dua
U
,
Elliott
S
,
Shaw
PJ
, et al
Plasma Epstein-Barr virus (EBV) DNA is a biomarker for EBV-positive Hodgkin's lymphoma
.
Clin Cancer Res
2006
;
12
:
460
4
.
23.
Sehn
LH
,
Berry
B
,
Chhanabhai
M
,
Fitzgerald
C
,
Gill
K
,
Hoskins
P
, et al
The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP
.
Blood
2007
;
109
:
1857
61
.
24.
Drouet
E
,
Brousset
P
,
Fares
F
,
Icart
J
,
Verniol
C
,
Meggetto
F
, et al
High Epstein-Barr virus serum load and elevated titers of anti-ZEBRA antibodies in patients with EBV-harboring tumor cells of Hodgkin's disease
.
J Med Virol
1999
;
57
:
383
9
.
25.
Gallagher
A
,
Armstrong
AA
,
MacKenzie
J
,
Shield
L
,
Khan
G
,
Lake
A
, et al
Detection of Epstein-Barr virus (EBV) genomes in the serum of patients with EBV-associated Hodgkin's disease
.
Int J Cancer
1999
;
84
:
442
8
.
26.
Savoie
A
,
Perpete
C
,
Carpentier
L
,
Joncas
J
,
Alfieri
C
. 
Direct correlation between the load of Epstein-Barr virus-infected lymphocytes in the peripheral blood of pediatric transplant patients and risk of lymphoproliferative disease
.
Blood
1994
;
83
:
2715
22
.
27.
Riddler
SA
,
Breinig
MC
,
McKnight
JL
. 
Increased levels of circulating Epstein-Barr virus (EBV)-infected lymphocytes and decreased EBV nuclear antigen antibody responses are associated with the development of posttransplant lymphoproliferative disease in solid-organ transplant recipients
.
Blood
1994
;
84
:
972
84
.
28.
Wadowsky
RM
,
Laus
S
,
Green
M
,
Webber
SA
,
Rowe
D
. 
Measurement of Epstein-Barr virus DNA loads in whole blood and plasma by TaqMan PCR and in peripheral blood lymphocytes by competitive PCR
.
J Clin Microbiol
2003
;
41
:
5245
9
.
29.
Hakim
H
,
Gibson
C
,
Pan
J
,
Srivastava
K
,
Gu
Z
,
Bankowski
MJ
, et al
Comparison of various blood compartments and reporting units for the detection and quantification of Epstein-Barr virus in peripheral blood
.
J Clin Microbiol
2007
;
45
:
2151
5
.
30.
Stevens
SJ
,
Pronk
I
,
Middeldorp
JM
. 
Toward standardization of Epstein-Barr virus DNA load monitoring: unfractionated whole blood as preferred clinical specimen
.
J Clin Microbiol
2001
;
39
:
1211
6
.
31.
Aalto
SM
,
Juvonen
E
,
Tarkkanen
J
,
Volin
L
,
Haario
H
,
Ruutu
T
, et al
Epstein-Barr viral load and disease prediction in a large cohort of allogeneic stem cell transplant recipients
.
Clin Infect Dis
2007
;
45
:
1305
9
.
32.
Spacek
M
,
Hubacek
P
,
Markova
J
,
Zajac
M
,
Vernerova
Z
,
Kamaradova
K
, et al
Plasma EBV-DNA monitoring in Epstein-Barr virus-positive Hodgkin lymphoma patients
.
APMIS
2010
;
119
:
10
6
.