Skip to main content

Maximal standard uptake values of 18F-fluoro-2-deoxy-D-glucose positron emission tomography compared with Epstein-Barr virus DNA as prognostic indicators in de novo metastatic nasopharyngeal carcinoma patients



This study aimed to evaluate the prognostic value of maximal standard uptake values (SUVmax) of 18F-fluoro-2-deoxy-D-glucose positron emission tomography (PET) comparing with Epstein-Barr virus (EBV) DNA levels in de novo metastatic nasopharyngeal carcinoma (NPC) patients.


From December 2006 to December 2016, 253 de novo metastatic NPC patients assessed by PET/ computed tomography were involved in current study. SUVmax-T, SUVmax-N, and SUVmax-M referred to the SUVmax at the primary tumor, cervical lymph nodes, and metastatic lesions respectively. Overall survival (OS) was the primary endpoint.


Patients who died during the follow-up had significantly higher SUVmax-N, SUVmax-M, and EBV DNA level than those in the patients who were alive. SUVmax-N and SUVmax-M were positively correlated with EBV DNA level. The cut-off values of SUVmax-T, SUVmax-N, SUVmax-M, and EBV DNA were 17.0, 12.7, and 6.9, and 13,800 copies/mL respectively, which were determined by receiver operating characteristic (ROC) curve analysis. Patients with elevated SUVmax-N, SUVmax-M, and EBV DNA levels had a lower 3-year OS rate. In multivariate analysis, the independent prognostic factors of OS included EBV DNA, metastatic site, and locoregional radiotherapy application, while SUVmax was not an independent prognostic factor.


In de novo metastatic NPC patients, higher SUVmax-N and SUVmax-M were associated with worse prognosis. However, the predictive ability of SUVmax-N and SUVmax-M was poorer than that of EBV DNA.

Peer Review reports


Nasopharyngeal carcinoma (NPC) is a unique malignancy, which has distinguishing features from other head and neck cancer in terms of epidemiology, geographic areas, population, and prognosis. In 2012, approximately 86,700 new cases of NPC were reported, accounting for 0.6% of all cancers and causing 50,800 deaths [1, 2]. The area with the highest incidence is southern China, especially provinces such as Guangdong, Hainan, Guangxi, Hunan, and Fujian [3]. NPC is sensitive to both radiation and chemotherapy. Therefore, radiotherapy is the fundamental treatment modality for NPC while cisplatin-based concurrent chemoradiotherapy is the standard treatment for locoregionally advanced NPC [4]. Owing to great improvements in both diagnosis and radiation techniques, the prognosis of patients with non-metastatic NPC is quite satisfactory nowadays and the overall survival exceeds 80% [5].

It has been estimated that 15% of NPC patients develop distant metastasis at the time of the first diagnosis, which is defined as de novo metastatic NPC [6]. The prognosis of de novo metastatic NPC patients is poor even when treated with the first-line palliative chemotherapy regimen [7]. However, the survival period varies greatly among these patients with different illness condition [8]. Therefore, it is necessary to apply effective biomarkers for early survival prediction to guide individualized interventions.

In locoregionally advanced NPC, plasma Epstein-Barr virus (EBV) DNA levels have been proven to the most important biomarker, and it has been widely applied for condition monitoring and prognosis prediction [9, 10]. Furthermore, Li et al. have demonstrated the prognostic value of EBV DNA in metastatic NPC [11]. Therefore, EBV DNA could facilitate risk stratification. The National Comprehensive Cancer Network (NCCN) guidelines recommend 18F-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography and computed tomography (PET/CT) for the detection of distant metastases in stage III-IV NPC patients. The maximal standard uptake value (SUVmax), used for a (semi) quantitative analysis in PET/CT, was indicated to have remarkable prognostic value in head and neck cancers [12]. In patients with non-metastatic NPC, previous studies have reported that the SUVmax represents a significant predictive factor of clinical outcomes [13,14,15,16]. However, to our knowledge, there is no related research on the predictive value of SUVmax in metastatic NPC.

Based on these facts, we conducted a retrospective study with a large sample size to investigate the utility of SUVmax in predicting survival outcomes in patients with de novo metastatic NPC in comparison with the prognostic value of EBV DNA, which would provide important information for personalized treatment.


Patient population

From December 2006 to December 2016, 253 patients with de novo metastatic NPC diagnosed at the Sun Yat Sen University Cancer Center (SYSUCC) were included in this study. The inclusion criteria were as follows: (1) histologically confirmed NPC; (2) evidence of distant metastasis assessed by PET/CT; (3) use of cisplatin-based palliative chemotherapy (PCT); (4) an initial Karnofsky performance score of > 70; (5) adequate renal and hepatic functions; and (6) no pregnancy, lactation, or second malignant disease. The flow chart is shown in Fig. 1. The analysis was approved by the clinical research ethics committee at SYSUCC.

Fig. 1
figure 1

Flow chart showing patient inclusion

Diagnosis and treatment

Prior to diagnosis, the patients underwent a series of assessments including a physical examination, nasopharyngoscopy and biopsy, enhanced magnetic resonance imaging (MRI) of the nasopharynx and neck, and PET/CT. Enhanced MRI/computed tomography (CT) of the metastatic sites or other tests were considered by clinical oncologists when necessary. Palliative chemotherapy was administered for all patients. The common chemotherapy regimens were GP (gemcitabine [1000 mg/m2, d1,8] and cisplatin [20–30 mg/m2, d1–3]), TPF (docetaxel [60 mg/m2, d1] combined with cisplatin [60 mg/m2, d1] and 5-fluorouracil (500–800 mg/m2, d1–5]), PF (cisplatin [20–25/m2, d1–3] and 5-fluorouracil [800–1000 mg/m2, d1–5]), and TP (docetaxel [75 mg/m2, d1] plus cisplatin [20–30 mg/m2, d1–3]).

Chemotherapy was administered every 3 weeks intravenously. After PCT, 164 (64.8%) patients received locoregional radiotherapy (LRRT) using intensity-modulated radiation or two-dimensional conventional radiotherapy technique. The total dosage for radiation therapy was 68–70 Gy, five times a week from Monday to Friday, and 1.8–2.2 Gy each time.

EBV DNA measurement and PET/CT imaging test

Before treatment, patients’ plasma EBV DNA was routinely measured by quantitative polymerase chain reaction as previously described [17]. PET/CT was performed based on procedural guidelines [18]. Forty-five to 60 min after the injection of FDG, PET/CT was performed from the head to the proximal thigh. Finally, with the use of CT data, the PET images were re-established [6]. SUVmax was defined as the highest activity concentration per injected dose per body weight with correction of radioactive decay. SUVmax-T, SUVmax-N, and SUVmax-M referred to the SUVmax at the primary tumor, cervical lymph nodes, and metastatic lesions respectively.

Follow-up and outcome

After treatment, evaluations were conducted every 3 months for the first 3 years and then every 6 months thereafter until the patient died. Routine evaluations during follow-up included a physical examination; nasopharyngoscopy; enhanced MRI/CT of the nasopharynx, neck, and metastatic sites; chest X-ray/enhanced CT; and abdominal ultrasound/ enhanced CT. PET/CT or other tests were considered by clinical oncologists if necessary. The primary outcome of our study was overall survival (OS), and the definition of OS was the time from the date of diagnosis to the date of death from any cause.

Statistical analysis

The Spearman correlation test was used to evaluate the correlation between SUVmax and EBV DNA levels, which were regarded as continuous variables. The values of SUVmax and EBV DNA between survivors and non-survivors were compared using the Mann–Whitney U-test. The cut-off points for continuous variables were chosen by receiver operating characteristic (ROC) curve analysis following the Metz method [19]. Patients’ baseline characteristics were evaluated using the Chi-square test. Survival probabilities between patients in different groups were evaluated using the Kaplan–Meier method with log-rank test. Cox proportional hazards regression model was applied in the step-wise multivariate analysis. All statistical analyses were performed using Statistical Package for Social Sciences 23.0 (IBM Corporation, Armonk, NY, USA). All statistical tests were two-tailed, and p < 0.05 was considered statistical significance.


Patient characteristics

From December 2006 to December 2016, 253 de novo metastatic NPC patients were involved in the study. The median patient age was 47 years, and the male-to-female ratio was 5.8:1. In the cohort, 180 patients (71.1%) had one metastatic site, while 73 patients (28.9%) developed lesions at multiple metastatic sites on diagnosis. Other patient characteristics are listed in Table 1. The median follow-up period was 27.2 months [interquartile range (IQR) 15.9–39.9 months]. One hundred and thirty patients were dead at the last follow-up. The 3- and 5-year OS rates were 54.8 and 33.1%, respectively.

Table 1 Clinical characteristics

Distribution of SUVmax and EBV DNA level in survivors and non-survivors

As shown in Fig. 2, patients who died during the follow-up period had significantly higher SUVmax-N (P = 0.026) and SUVmax-M (P = 0.006) values than patients alive at the last follow-up. However, there was no obvious difference in SUVmax-T between survivors and non-survivors (P = 0.615). Because the copy number of EBV DNA is obviously asymmetric, we obtained the logarithm of EBV DNA with the base 10 to make the distribution of values more uniform on coordinate axes. Obviously, the median EBV DNA level was higher in patients who were dead compared to patients who were survival (P = 0.001).

Fig. 2
figure 2

The distribution of different variables in the survivor and non- survivor groups. a SUVmax-T; b SUVmax-N; c SUVmax-M; and d EBV DNA level

Correlation analysis between EBV DNA and SUVmax

A Spearman correlation analysis was performed between SUVmax and EBV DNA levels (log10). The SUVmax and EBV DNA levels were regarded as continuous variables. Interestingly, SUVmax-N (R square = 0.090, P < 0.001) and SUVmax-M (R square = 0.040, P = 0.001) were positively correlated with EBV DNA levels, while no significant correlation was found between SUVmax-T and EBV DNA levels (R square = 0.009, P = 0.130) (Fig. 3). It should be noted that although the results were significant, the correlations between SUVmax-N, SUVmax-M and EBV DNA levels were still weak.

Fig. 3
figure 3

The correlations between SUVmax values and the EBV DNA level. a SUVmax-T; b SUVmax-N; and c SUVmax-M

Cut-off value of EBV DNA and SUVmax

The ROC curve was applied to evaluate the ability of SUVmax and plasma EBV DNA to predict death and to choose the optimal cut-off value that showed the best trade-off between sensitivity and specificity in further analyses. According to the ROC analysis, the cut-off EBV DNA value was 13,800 copies/ml (sensitivity = 0.677, specificity = 0.528, area under curve [AUC] = 0.644) for OS (Fig. 4). The cut-off values of SUVmax-T, SUVmax-N, and SUVmax-M were 17.0, 12.7 and 6.9 respectively. The patient characteristics in different SUVmax and EBV DNA levels are shown in Table 2 and the follow-up durations of different subgroups are shown in Additional file 1: Table S1.

Fig. 4
figure 4

Receiver operating characteristic (ROC) curve analysis used to determine the cut-off SUVmax values and EBV DNA level

Table 2 Clinical characteristics grouped by different SUV and EBV DNA level

Association between elevated SUVmax, EBV DNA levels and OS

We divided the patients into two different groups based on the cut-off SUVmax and EBV DNA values. In univariate analysis, patients with SUVmax-N > 12.7 showed a lower 3-year OS than patients with SUVmax-N ≤ 12.7 (65.1% vs. 46.5%, P = 0.005). Similarly, in comparison with patients with SUVmax-M > 6.9, patients with SUVmax-M ≤ 6.9 achieved a better survival condition (65.4% vs. 49.2%, P = 0.005). However, the 3-year OS was comparable among patients with different SUVmax-T levels (57.3% vs. 47.7%, P = 0.484). In terms of EBV DNA, the patients EBV DNA ≥ 13,800 copies/mL showed a worse survival condition than patients with lower EBV DNA level. The 3-year OS was 70.4 and 44.7%, respectively (P = 0.001). The Kaplan–Meier curve for OS is shown in Fig. 5.

Fig. 5
figure 5

Kaplan–Meier survival curves comparing overall survival grouped by the cut-off SUVmax-T (a), SUVmax-N (b), and SUVmax-M (c) values and the EBV DNA level (d). P values were calculated using the log-rank test

Multivariate analyses of prognostic factors

We further used three multivariate analysis models in our study (Table 3). In model 1, SUVmax-T, SUVmax-N, and SUVmax-M were involved in the analysis and only SUVmax-M was associated with OS (hazard ratio [HR]: 1.72, 95% confidence interval [CI]: 1.13–2.78, P = 0.012). In model 2, which was adjusted for EBV DNA level, both SUVmax-M and EBV DNA remained independent factors for OS. Finally, other risk factors (T stage, N stage, age, gender, metastatic site, and LRRT use) were considered. In model 3, EBV DNA level still remained an independent prognostic factor for OS (HR: 1.55, 95% CI: 1.03–1.23, P = 0.036) while SUVmax-M did not. Patients with multiple metastatic sites exhibited worse OS than patients with bone-only metastasis (HR, 1.87; 95% CI, 1.25–2.80, P = 0.002). Besides, LRRT use was a protective factor (HR, 0.51; 95% CI, 0.35–0.78; P < 0.001).

Table 3 Multivariate analyses


As far as we know, this is the first retrospective cohort study to explore the prognostic value of EBV DNA levels and SUVmax values in de novo metastatic NPC patients. Here, we found that SUVmax-N and SUVmax-M of 18F-FDG PET/CT had positive correlations with EBV DNA levels while SUVmax-T did not. Furthermore, SUVmax-N and SUVmax-M were related to the patients’ prognosis. EBV DNA level was superior to SUVmax in terms of its survival prediction value and remained an independent factor in multivariate analyses combining other risk factors.

EBV DNA level was an important biomarker for NPC as previous studies investigated [9, 10, 20]. Lin et al. demonstrated that higher EBV DNA levels (> 1500 copies/mL) prior to treatment or detectable levels after treatment were both related to lower OS for non-metastatic NPC patients [9]. The prognostic value is similar among metastatic and recurrent patients [11]. In our previous study, we established a prognostic nomogram combining EBV DNA level and other prognostic factors. The new model showed better discrimination than the traditional TNM stage [21]. Additionally, we demonstrated that the pretreatment plasma EBV DNA level was of great value in predicting distant metastasis for NPC patients, making the use of PET-CT more reasonable [6]. 18F-FDG uptake, which was measured by SUVmax, was related to the glucose metabolic rate of tumor cells. Previous studies have reported that non-metastatic NPC patients with lower SUVmax values achieved better survival rates [13, 16, 22]. Zhang et al. were the first group to develop an integrated prognostic model based on recursive partitioning analysis for DMFS, which incorporated SUVmax-N and N-classification [23]. In addition, Sher et al. demonstrated that NPC patients with higher SUVmax values had a worse 5-year OS, and the SUV75% on FDG PET could be used to identify patients benefiting from adjuvant chemotherapy [24].

In locoregionally advanced NPC, we have the verified the predictive value of SUVmax and EBV DNA level in previous study [25]. However, there was no relevant research on de novo metastatic NPC. In this study, we found that higher levels of SUVmax-N and SUVmax-M were significantly associated with a lower 3-year OS, but the SUVmax-T result was not. On the other hand, the EBV DNA level exhibited a superior predictive ability. Patients with a higher EBV DNA level suffered lower 3-year OS compared with other patients (70.4% vs. 44.7%, P < 0.001). Multifactorial Cox regression analysis suggested that for the OS, the independent prognostic factors included the EBV DNA level, metastatic sites, and LRRT use, but the SUVmax at any site was not involved. Additionally, we found that there were strong correlations between SUVmax-N, SUVmax-M values and the metastatic sites according to the Chi-square test (Table 2). According to the theory of multicollinearity, if there was a significant correlation between two prognostic factors in the Cox proportional hazards regression model, their predictive values would be influenced by each other. This may partially explain why these two factors did not remain independent prognostic factors in multivariate analysis. Our results showed that the EBV DNA level, which is the best biomarker so far, was more sensitive than SUVmax value for prediction of death in de novo metastatic NPC.

According to this study, a high level of SUVmax-N, SUVmax-M, and EBV DNA indicated worse prognosis in metastatic NPC patients at diagnosis. For these patients, closer follow-up examinations and early intervention were necessary. Cisplatin-based PCT has been established as the standard treatment regimen for metastatic NPC patients [7, 26,27,28]. Recently, several studies verified that LRRT could further improve patients’ survival when combined with PCT in metastatic NPC patients [8, 29]. Our results were consistent with these previous studies, which demonstrated that LRRT was a significant protective factor in multivariate analysis. Nevertheless, the current regular treatment therapy may not be adequate to improve the OS for high-risk patients. A new treatment method urgently needs to be identified. On the basis of this fact, our group initiated a worldwide, multicenter, phase III clinical study of cisplatin and gemcitabine with or without PD-1 antibody (toripalimab) in patients with recurrent or metastatic NPC (NCT 03581786). We are looking forward to the findings.

Several limitations existed in the current study. First, this was a retrospective study and the selection bias could not be eliminated. Second, all patients in current study were from one treatment center, and the pathology type of most patients was WHO type III. Third, the global standards for EBV DNA measurement are different, which need for further standardization. A prospective study from multiple institutions is needed to confirm our results.


De novo metastatic NPC patients with high levels of SUVmax-N and SUVmax-M at diagnosis had a poor prognosis. Pre-EBV DNA level showed a stronger predictive ability than SUVmax and was the independent prognostic factor.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



Area under curve


Confidence interval


Computed tomography


Epstein–Barr virus




Hazard ratio


Karnofsky performance score


Locoregional radiotherapy


Magnetic resonance imaging


National Comprehensive Cancer Network


Nasopharyngeal carcinoma


Overall survival


Palliative chemotherapy


Positron emission tomography and computed tomography


Receiver operating characteristic


Maximal standard uptake value


Sun Yat Sen University Cancer Center


  1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin D, Forman D, Bray F. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–86.

    Article  CAS  Google Scholar 

  2. Torre L, Bray F, Siegel R, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108.

    Article  Google Scholar 

  3. Cao SM, Simons MJ, Qian CN. The prevalence and prevention of nasopharyngeal carcinoma in China. Chin J Cancer. 2011;30(2):114–9.

    Article  CAS  Google Scholar 

  4. Lee AW, Lau WH, Tung SY, Chua DT, Chappell R, Xu L, Siu L, Sze WM, Leung TW, Sham JS, et al. Preliminary results of a randomized study on therapeutic gain by concurrent chemotherapy for regionally-advanced nasopharyngeal carcinoma: NPC-9901 trial by the Hong Kong nasopharyngeal Cancer study group. J Clin Oncol. 2005;23(28):6966–75.

    Article  CAS  Google Scholar 

  5. Chua M, Wee J, Hui E, Chan A. Nasopharyngeal carcinoma. Lancet. 2016;387(10022):1012–24.

    Article  Google Scholar 

  6. Tang L, Chen Q, Fan W, Liu H, Zhang L, Guo L, Luo D, Huang P, Zhang X, Lin X, et al. Prospective study of tailoring whole-body dual-modality [18F]fluorodeoxyglucose positron emission tomography/computed tomography with plasma Epstein-Barr virus DNA for detecting distant metastasis in endemic nasopharyngeal carcinoma at initial staging. J Clin Oncol. 2013;31(23):2861–9.

    Article  CAS  Google Scholar 

  7. Zhang L, Huang Y, Hong S, Yang Y, Yu G, Jia J, Peng P, Wu X, Lin Q, Xi X, et al. Gemcitabine plus cisplatin versus fluorouracil plus cisplatin in recurrent or metastatic nasopharyngeal carcinoma: a multicentre, randomised, open-label, phase 3 trial. Lancet. 2016;388(10054):1883–92.

    Article  CAS  Google Scholar 

  8. Zou X, You R, Liu H, He YX, Xie GF, Xie ZH, Li JB, Jiang R, Liu LZ, Li L, et al. Establishment and validation of M1 stage subdivisions for de novo metastatic nasopharyngeal carcinoma to better predict prognosis and guide treatment. Eur J Cancer. 2017;77:117–26.

    Article  Google Scholar 

  9. Lin JC, Wang WY, Chen KY, Wei YH, Liang WM, Jan JS, Jiang RS. Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma. N Engl J Med. 2004;350(24):2461–70.

    Article  CAS  Google Scholar 

  10. Chan AT, Lo YM, Zee B, Chan LY, Ma BB, Leung SF, Mo F, Lai M, Ho S, Huang DP, et al. Plasma Epstein-Barr virus DNA and residual disease after radiotherapy for undifferentiated nasopharyngeal carcinoma. J Natl Cancer Inst. 2002;94(21):1614–9.

    Article  CAS  Google Scholar 

  11. An X, Wang FH, Ding PR, Deng L, Jiang WQ, Zhang L, Shao JY, Li YH. Plasma Epstein-Barr virus DNA level strongly predicts survival in metastatic/recurrent nasopharyngeal carcinoma treated with palliative chemotherapy. Cancer. 2011;117(16):3750–7.

    Article  CAS  Google Scholar 

  12. Allal AS, Slosman DO, Kebdani T, Allaoua M, Lehmann W, Dulguerov P. Prediction of outcome in head-and-neck cancer patients using the standardized uptake value of 2-[18F]fluoro-2-deoxy-D-glucose. Int J Radiat Oncol Biol Phys. 2004;59(5):1295–300.

    Article  CAS  Google Scholar 

  13. Hung TM, Wang HM, Kang CJ, Huang SF, Liao CT, Chan SC, Ng SH, Chen IH, Lin CY, Fan KH, et al. Pretreatment (18)F-FDG PET standardized uptake value of primary tumor and neck lymph nodes as a predictor of distant metastasis for patients with nasopharyngeal carcinoma. Oral Oncol. 2013;49(2):169–74.

    Article  Google Scholar 

  14. Liu WS, Wu MF, Tseng HC, Liu JT, Weng JH, Li YC, Lee JK. The role of pretreatment FDG-PET in nasopharyngeal carcinoma treated with intensity-modulated radiotherapy. Int J Radiat Oncol Biol Phys. 2012;82(2):561–6.

    Article  Google Scholar 

  15. Chan SC, Chang JT, Wang HM, Lin CY, Ng SH, Fan KH, Chin SC, Liao CT, Yen TC. Prediction for distant failure in patients with stage M0 nasopharyngeal carcinoma: the role of standardized uptake value. Oral Oncol. 2009;45(1):52–8.

    Article  Google Scholar 

  16. Xie P, Yue JB, Fu Z, Feng R, Yu JM. Prognostic value of 18F-FDG PET/CT before and after radiotherapy for locally advanced nasopharyngeal carcinoma. Ann Oncol. 2010;21(5):1078–82.

    Article  CAS  Google Scholar 

  17. Lo YM, Chan LY, Lo KW, Leung SF, Zhang J, Chan AT, Lee JC, Hjelm NM, Johnson PJ, Huang DP. Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma. Cancer Res. 1999;59(6):1188–91.

    CAS  PubMed  Google Scholar 

  18. Delbeke D, Coleman RE, Guiberteau MJ, Brown ML, Royal HD, Siegel BA, Townsend DW, Berland LL, Parker JA, Hubner K, et al. Procedure guideline for tumor imaging with 18F-FDG PET/CT 1.0. J Nucl Med. 2006;47(5):885–95.

    PubMed  Google Scholar 

  19. Metz CE. ROC methodology in radiologic imaging. Investig Radiol. 1986;21(9):720–33.

    Article  CAS  Google Scholar 

  20. Leung SF, Zee B, Ma BB, Hui EP, Mo F, Lai M, Chan KC, Chan LY, Kwan WH, Lo YM, et al. Plasma Epstein-Barr viral deoxyribonucleic acid quantitation complements tumor-node-metastasis staging prognostication in nasopharyngeal carcinoma. J Clin Oncol. 2006;24(34):5414–8.

    Article  CAS  Google Scholar 

  21. Tang L, Li C, Li J, Chen W, Chen Q, Yuan L, Lai X, He Y, Xu Y, Hu D, et al. Establishment and validation of prognostic nomograms for endemic nasopharyngeal carcinoma. J Natl Cancer Inst. 2016;108.

    Article  Google Scholar 

  22. Lee SW, Nam SY, Im KC, Kim JS, Choi EK, Ahn SD, Park SH, Kim SY, Lee BJ, Kim JH. Prediction of prognosis using standardized uptake value of 2-[(18)F] fluoro-2-deoxy-d-glucose positron emission tomography for nasopharyngeal carcinomas. Radiother Oncol. 2008;87(2):211–6.

    Article  CAS  Google Scholar 

  23. Zhang Y, Li WF, Mao YP, Zhou GQ, Peng H, Sun Y, Liu Q, Chen L, Ma J. Establishment of an integrated model incorporating standardised uptake value and N-classification for predicting metastasis in nasopharyngeal carcinoma. Oncotarget. 2016;7(12):13612–20.

    PubMed  PubMed Central  Google Scholar 

  24. Hsieh TC, Hsieh CY, Yang TY, Chen TT, Lin CY, Lin CC, Hua CH, Chiu CF, Yeh SP, Sher YP. [18F]-Fluorodeoxyglucose positron emission tomography standardized uptake value as a predictor of adjuvant chemotherapy benefits in patients with nasopharyngeal carcinoma. Oncologist. 2015;20(5):539–45.

    Article  CAS  Google Scholar 

  25. Chen WH, Tang LQ, Zhang L, Chen QY, Guo SS, Liu LT, Fan W, Zhang X, Guo L, Zhao C, et al. Combining plasma Epstein-Barr virus DNA and nodal maximal standard uptake values of 18F-fluoro-2-deoxy-D-glucose positron emission tomography improved prognostic stratification to predict distant metastasis for locoregionally advanced nasopharyngeal carcinoma. Oncotarget. 2015;6(35):38296–307.

    PubMed  PubMed Central  Google Scholar 

  26. Ji J, Yun T, Kim S, Kang J, Park J, Cho I, Sohn C, Heo D, Jang J, Shin S, et al. A prospective multicentre phase II study of cisplatin and weekly docetaxel as first-line treatment for recurrent or metastatic nasopharyngeal cancer (KCSG HN07-01). Eur J Cancer. 2012;48(17):3198–204.

    Article  CAS  Google Scholar 

  27. Ngan R, Yiu H, Lau W, Yau S, Cheung F, Chan T, Kwok C, Chiu C, Au S, Foo W, et al. Combination gemcitabine and cisplatin chemotherapy for metastatic or recurrent nasopharyngeal carcinoma: report of a phase II study. Ann Oncol. 2002;13(8):1252–8.

    Article  CAS  Google Scholar 

  28. Chen C, Wang F, An X, Luo H, Wang Z, Liang Y, Zhang L, Li Y. Triplet combination with paclitaxel, cisplatin and 5-FU is effective in metastatic and/or recurrent nasopharyngeal carcinoma. Cancer Chemother Pharmacol. 2013;71(2):371–8.

    Article  CAS  Google Scholar 

  29. Chen MY, Jiang R, Guo L, Zou X, Liu Q, Sun R, Qiu F, Xia ZJ, Huang HQ, Zhang L, et al. Locoregional radiotherapy in patients with distant metastases of nasopharyngeal carcinoma at diagnosis. Chin J Cancer. 2013;32(11):604–13.

    Article  Google Scholar 

Download references


We kindly thank the editor and reviewers for careful review and valuable comments, which have led to a significant improvement of the manuscript.


Design of the study: the National Key R&D Program of China (2016YFC0902003, 2017YFC1309003, 2017YFC0908500), the National Natural Science Foundation of China (No. 81425018, No. 81672868, No. 81602371).

Data collection, analysis and interpretation: the Sci-Tech Project Foundation of Guangdong Province (No. 2014A020212103), the Health & Medical Collaborative Innovation Project of Guangzhou City (No. 201400000001).

Manuscript writing: the cultivation foundation for the junior teachers in Sun Yat Sen University (16ykpy28), the foundation for major project and new cross subject in Sun Yat Sen University (16ykjc38) and the Fundamental Research Funds for the Central Universities Fundamental Research Funds for the Central Universities.

Author information

Authors and Affiliations



Study concepts: HQM, LQT, Study concepts: HQM, LQT, JJY. Study design: XSS, YJL, SLL, HJX, QNT. Data acquisition: XSS, YJL, SLL, YJL, XYL, JJY, SSG, YFW, HJX, QNT. Quality control of data and algorithms: XSS, LTL, SLL, YJL, XYL, SSG, YFW. Data analysis and interpretation: XSS, LTL, SLL, QYC. Statistical analysis: XSS, LTL, SLL. Manuscript preparation: XSS, YJL, SLL. Manuscript editing: XSS, YJL, SLL. Manuscript review: HQM, LQT and QYC. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hai-Qiang Mai.

Ethics declarations

Ethics approval and consent to participate

This retrospective study was approved by the Clinical Research Committee of Sun Yat-sen University Cancer Center. Patients were required to provide written informed consent before enrolling in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Table S1. Follow-up durations of different subgroups (DOCX 51 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Sun, XS., Liang, YJ., Liu, SL. et al. Maximal standard uptake values of 18F-fluoro-2-deoxy-D-glucose positron emission tomography compared with Epstein-Barr virus DNA as prognostic indicators in de novo metastatic nasopharyngeal carcinoma patients. BMC Cancer 19, 908 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Nasopharyngeal carcinoma
  • SUVmax
  • Survival