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. 2021 Aug 26;19:193. doi: 10.1186/s12916-021-02076-4

Liquid biopsy posttreatment surveillance in endemic nasopharyngeal carcinoma: a cost-effective strategy to integrate circulating cell-free Epstein-Barr virus DNA

Chen-Fei Wu 1,#, Li Lin 1,#, Yan-Ping Mao 1,#, Bin Deng 2,#, Jia-Wei Lv 1, Wei-Hong Zheng 1, Dan-Wan Wen 1, Jia Kou 1, Fo-Ping Chen 1, Xing-Li Yang 1, Si-Si Xu 1, Jun Ma 1, Guan-Qun Zhou 1,, Ying Sun 1,
PMCID: PMC8390246  PMID: 34433440

Abstract

Background

The optimal posttreatment surveillance strategy for nasopharyngeal carcinoma (NPC) remains unclear. Circulating cell-free Epstein-Barr virus (cfEBV) DNA has been recognized as a promising biomarker to facilitate early detection of NPC recurrence. Therefore, we aim to determine whether integrating circulating cfEBV DNA into NPC follow-up is cost-effective.

Methods

For each stage of asymptomatic nonmetastatic NPC patients after complete remission to primary NPC treatment, we developed a Markov model to compare the cost-effectiveness of the following surveillance strategies: routine follow-up strategy, i.e., (1) routine clinical physical examination; routine imaging strategies, including (2) routine magnetic resonance imaging plus computed tomography plus bone scintigraphy (MRI + CT + BS); and (3) routine 18F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT); cfEBV DNA-guided imaging strategies, including (4) cfEBV DNA-guided MRI + CT + BS and (5) cfEBV DNA-guided PET/CT. Clinical probabilities, utilities, and costs were derived from published studies or databases. Sensitivity analyses were performed.

Results

For all disease stages, cfEBV DNA-guided imaging strategies demonstrated similar survival benefits but were considerably more economical than routine imaging strategies. They only required approximately one quarter of the number of imaging studies compared with routine imaging strategies to detect one recurrence. Specifically, cfEBV DNA-guided MRI + CT + BS was most cost-effective for stage II (incremental cost-effectiveness ratio [ICER] $57,308/quality-adjusted life-year [QALY]) and stage III ($46,860/QALY) patients, while cfEBV DNA-guided PET/CT was most cost-effective for stage IV patients ($62,269/QALY). However, routine follow-up was adequate for stage I patients due to their low recurrence risk.

Conclusions

The cfEBV DNA-guided imaging strategies are effective and cost-effective follow-up methods in NPC. These liquid biopsy-based strategies offer evidence-based, stage-specific surveillance modalities for clinicians and reduce disease burden for patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12916-021-02076-4.

Keywords: Liquid biopsy, Circulating cell-free Epstein-Barr virus DNA, Posttreatment surveillance, Surveillance imaging, Cost-effectiveness, Nasopharyngeal carcinoma

Background

More than 20% of patients with nonmetastatic nasopharyngeal carcinoma (NPC) will experience disease recurrence despite aggressive primary treatment, contributing largely to treatment failure and death [1, 2]. The posttreatment surveillance is essential to detect recurrence timely when the tumor burden is minimal, which would maximize the efficacy of salvage treatment and might improve survival [36]. However, surveillance can be challenging in NPC, and there is no consensus on the optimal follow-up modalities. Consequently, practice varies widely across clinicians and institutions. Although routine surveillance imaging, e.g., routine magnetic resonance imaging (MRI) and computed tomography (CT), is efficacious in detecting recurrence, it has been questioned due to the prohibitive resource consumption and economic burden [7]. Hence, it is imperative to identify a follow-up strategy that can detect recurrence in a timely and cost-effective manner.

Epstein-Barr virus (EBV) infections were predominant in endemic NPC [8]. Circulating cell-free EBV (cfEBV) DNA, short DNA fragments released by NPC cells, has been established as an NPC biomarker in population screening [9], risk assessment [8, 10], treatment evaluation [11, 12], and follow-up [1316]. Several studies have shown that the posttreatment cfEBV DNA tests could facilitate early detection of NPC recurrence, especially for distant recurrence [1318]. Specifically, detectable plasma cfEBV DNA during follow-up indicates tumor recurrence, while undetectable cfEBV DNA demonstrates continuous remission [15, 16, 18]. A recent work involving 1984 nonmetastatic NPC patients demonstrated that the sensitivity and specificity for cfEBV DNA to detect recurrence were up to 82.3 and 80.0%, respectively, highlighting the efficacy of cfEBV DNA surveillance [16]. Another study investigating cfEBV DNA surveillance followed by positron emission tomography/computed tomography (PET/CT) indicated that such strategy could correctly identify NPC recurrence while saved approximately four-fifths in expenses [14]. Therefore, the updated European Society for Medical Oncology (ESMO) guideline for NPC has recognized cfEBV DNA as a promising biomarker for recurrence and recommended evaluating it at least every year [17], and the National Comprehensive Cancer Network (NCCN) guidelines also suggested EBV DNA monitoring for NPC [19]. However, little evidence is available regarding how to integrate cfEBV DNA into the current surveillance series [14, 17].

Considering that cfEBV DNA could promptly suggest disease recurrence with high accuracy [1416], we proposed a liquid biopsy-based stepwise surveillance strategy, starting with routine cfEBV DNA tests, followed by further imaging studies if the tests are positive. We estimated its cost-effectiveness and compared it with other surveillance strategies in each stage of NPC. We speculated that selected imaging studies for patients with positive cfEBV DNA was a cost-effective follow-up modality, demonstrating the potential application of circulating cell-free DNA in the follow-up of cancer survivors. We aimed to establish evidence-based, stage-specific NPC surveillance strategies and investigate the potential application of circulating cell-free DNA in the follow-up of cancer survivors.

Methods

Model construction

We developed a Markov decision-analytic model to evaluate the cost-effectiveness of five surveillance strategies in NPC (Additional file 1: Fig. S1A): routine follow-up strategy, i.e., (1) routine clinical physical examination; routine imaging strategies, including (2) routine MRI plus CT plus bone scintigraphy (MRI + CT + BS); and (3) routine 18F-fluorodeoxyglucose PET/CT; cfEBV DNA-guided imaging strategies, including (4) cfEBV DNA-guided MRI + CT + BS; and (5) cfEBV DNA-guided PET/CT. The routine follow-up included history and physical examinations, complete blood counts, comprehensive metabolic panels, and nasopharyngoscopies. The routine imaging strategies included routine follow-up and imaging studies. The cfEBV DNA-guided imaging strategies included routine follow-up and cfEBV DNA tests, whose positive results would trigger further imaging studies. MRI imaged the head and neck; CT imaged the chest and abdomen; BS imaged the whole body; and PET/CT imaged from the skull base to midthigh. According to the previous study [20], the surveillance was scheduled as follows: (1) stage I: 2 follow-up visits in year 1; 3 visits in year 2; 2 visits in year 3 and 4; and 1 visit in year 5, (2) stage II: 2 visits in year 1; 4 visits in year 2; 2 visits in year 3 and 4; and 1 visit in year 5, (3) stage III: 4 visits in year 1 and 2; 3 visits in year 3; and 1 visit in year 4 and 5, and (4) stage IV: 4 visits in year 1; 5 visits in year 2; 3 visits in year 3; and 1 visit in year 4 and 5. We chose a 5-year follow-up duration because more than 90% of recurrence happened within this interval [21, 22].

We simulated the natural history of four hypothetical cohorts of 45-year-old asymptomatic nonmetastatic NPC patients with stage I, II, III, and IV disease after complete remission (CR) to the primary treatment. In each cohort, patients would move through the following health states: no evidence of disease (NED) after primary treatment, early- and advanced-stage recurrence (local relapse [LR], regional relapse [RR], or distant metastasis [DM]), salvage treatment for recurrence, NED after salvage treatment, and death (Additional file 1: Fig. S1B). In each 1-month cycle, the Markov model would accrue the costs and utilities as patients experienced different health states or events in a lifetime horizon. All future costs and utilities were discounted at a standard rate of 3% annually [23].

The primary outcomes included the cost, effectiveness, incremental cost-effectiveness ratio (ICER), and net health benefit (NHB) of each strategy. The ICER was defined as the incremental cost for an additional quality-adjusted life-year (QALY) gained by comparing two strategies. The willingness-to-pay threshold was set at $100,000/QALY [24, 25]. Strategies with ICERs less than this threshold were considered cost-effective. The NHB, which is explicit and robust when comparing multiple strategies, was calculated with the formula: effectiveness–cost/willingness-to-pay [26]. The strategy with the highest NHB was considered the most cost-effective at the given willingness-to-pay threshold. Additionally, we compared the average number of imaging studies required to detect one disease recurrence among the different surveillance strategies.

All analyses were conducted and reported in line with the recommendations of the Second Panel on Cost-Effectiveness in Health and Medicine and the Consolidated Health Economic Evaluation Reporting Standards [23, 27]. The institutional ethics committee approved the study and waived the requirement for informed consent given its retrospective nature (B2020-410). Tests were two-sided, and P < 0.05 was defined as statistically significant. The Markov model was constructed in TreeAge Pro (TreeAge Software, Williamstown, MA), and other statistical analyses were performed using R (version 3.6.1, http://www.r-project.org).

Model clinical estimates

The base-case estimates are presented in Additional file 1: Table S1 [3, 4, 16, 20, 23, 2856]. Monthly LR, RR, and DM probabilities were fitted by parametric survival models using the patient-level real-world data of an NPC cohort containing 10,097 nonmetastatic NPC patients (median follow-up time, 67.3 months) collected from the NPC-specific database in our institution; detailed information about the cohort and the database are presented in Additional file 1: Table S2 and Additional file 2: Supplementary Methods [38, 5762]. The fitness of exponential, Gompertz, log-logistic, log-normal, and Weibull distributions were evaluated [63]. Specifically, the log-normal distribution was applied to the LR data, while the Gompertz distribution was applied to the RR and DM data, as they demonstrated the best fit based on the Akaike information criterion [63, 64]. The age-specific background mortality rate was generated from the China life table (Additional file 1: Table S3) [46]. The starting age of 45 in the base-case analysis was the median age of the 10,097 patients. We assumed that undetected early-stage LR, RR, and DM had monthly probabilities of 10%, 10%, and 20%, respectively, to progress to advanced-stage recurrence based on the values utilized in a published study [20]. Other probabilities and clinical utilities for different health states were derived from published studies and, in few cases, from expert opinion if published data were unavailable (Additional file 1: Table S1). The literature search and data extraction are detailed in Additional file 2: Supplementary Methods. All transition probabilities were transformed into monthly scales via the declining exponential approximation of life-expectancy equation: μ = − 1/t × ln(S) [65, 66].

Model validation

To evaluate the ability of the Markov model to accurately describe the disease processes of NPC, we validated the model in two aspects. First, we compared the model-simulated disease recurrence patterns (LR, RR, and DM) against the real-world recurrence patterns in the NPC cohort of 10,097 patients. The model-simulated recurrence was generated from the Markov model using the base-case parameters, while the real-world recurrence was calculated using the Kaplan-Meier method. Second, we compared the model-predicted overall survival under the five surveillance strategies in this study with the real-world observed overall survival in the NPC cohort (Kaplan-Meier method). Although the patients in real-world clinical practice might be prescribed various follow-up modalities and intervals different from this study, the similarity between the model-predicted and observed survival could partially confirm the model’s ability to reproduce the natural history of NPC patients because the recurrence patterns in the model were supposed to be similar to those in the real-world cohort. To better mimic the real-world circumstance consisting of various follow-up methods, we calculated the model-predicted overall survival using the average of the overall survival of the five surveillance strategies in the model.

Costs

Costs were derived from the 2019 Medical Insurance Administration Bureau of Guangzhou, China, or published studies from the societal perspective (Additional file 1: Table S1). Direct medical costs included costs of follow-up and salvage treatment. The costs assigned to a false-positive cfEBV DNA test or routine follow-up included the costs of additional imaging studies, while those assigned to a false-positive imaging study included the costs of nasopharyngoscopy- or CT-guided biopsy, pre-procedure labs, and pathology processing. Patients with early-stage LR would undergo endoscopic nasopharyngectomy (ENPG, 70%) or reirradiation (30%) [30], while patients with advanced-stage LR would undergo reirradiation. Patients with RR would undergo neck dissection, while patients with DM would receive salvage chemotherapy. The societal costs included costs of transportation, accommodations, meals, and wage loss related to patients’ and caregivers’ time off work [23, 5355]. All costs were inflated to 2019 using the medical care component of the Consumer Price Index in China and were converted into 2019 US dollars (exchange rate, 1.00 USD = 6.91 CNY).

Sensitivity analysis

One-way sensitivity analyses were applied to parameters over plausible ranges derived from published literature or a deviation of 20% from the base-case values (Additional file 1: Table S1) [53, 64]. Probabilistic sensitivity analyses (PSA) were conducted using 10,000 Monte Carlo simulations, where all parameters were varied simultaneously based on specific probability distributions (beta distribution for probabilities and utilities; gamma distribution for costs). Cost-effectiveness acceptability curves were constructed based on the strategies’ NHB generated from PSA. Additionally, two scenario analyses were performed by varying the surveillance arrangements: every 3 months in years 1–2 and every 6 months in years 3–5 according to the Radiation Therapy Oncology Group (RTOG) [67, 68]; every 2 months in year 1, every 4 months in year 2, and every 6 months in years 3–5 according to the NCCN guidelines for head and neck cancer (Version 1.2021) [19].

Results

Model validation

The Markov model-simulated LR-free survival, RR-free survival, and DM-free survival showed good agreement with the real-world disease recurrence patterns (Additional file 1: Fig. S2). In addition, the absolute differences between the model-predicted 1-year, 3-year, and 5-year overall survival and those of the real-world observation were within 2% in all disease stages, which indicated that the patient’s outcomes were comparable between the Markov model and the real-world observation (Additional file 1: Table S4). Collectively, these validation results demonstrated that the Markov model could accurately describe the disease processes of NPC.

Base-case analysis

The results of the base-case analysis are summarized in Table 1 and Additional file 1: Table S5. With the assistance of cfEBV DNA, cfEBV DNA-guided imaging strategies were considerably more cost-effective than routine imaging strategies across all disease stages. Specifically, compared with cfEBV DNA-guided MRI + CT + BS, the ICERs of routine MRI + CT + BS or routine PET/CT were both exceeding the willingness-to-pay threshold of $100,000/QALY, ranging from $179,508/QALY in stage IV to $1,443,575/QALY in stage I (Additional file 1: Table S5). Similarly, the ICERs of routine imaging strategies compared with cfEBV DNA-guided PET/CT also went far beyond the willingness-to-pay threshold, ranging from $262,724/QALY in stage IV to $3,882,176/QALY in stage I, and the routine MRI + CT + BS was dominated (less effective but more costly than another strategy) by cfEBV DNA-guided PET/CT in stage IV (Additional file 1: Table S5). Moreover, the NHBs of cfEBV DNA-guided imaging strategies were also greater than those of routine imaging strategies (Table 1). For example, the NHBs of cfEBV DNA-guided MRI + CT + BS and PET/CT were 12.066/QALY and 12.061/QALY in stage II, respectively, larger than those of routine MRI + CT + BS (12.029/QALY) and PET/CT (11.979/QALY).

Table 1.

Base-case cost-effectiveness analysis

Total values Incremental valuesb ICER ($/QALY) NHBc (QALY)
Surveillance strategya Cost ($) Effectiveness (QALY) Costs ($) Effectiveness (QALY)
Stage I
 Routine clinical physical examination 5664 13.223 13.166
 cfEBV DNA-guided MRI + CT + BS 6902 13.233 1239 0.010 119,368 13.164
 cfEBV DNA-guided PET/CT 8113 13.236 1210 0.002 518,871 13.155
 Routine MRI + CT + BS 11,546 13.237 3433 0.001 3,882,176 13.121
 Routine PET/CT 17,458 13.241 5913 0.004 1378,484 13.066
Stage II
 Routine clinical physical examination 6694 12.121 12.054
 cfEBV DNA-guided MRI + CT + BS 8341 12.150 1647 0.029 57,308 12.066
cfEBV DNA-guided PET/CT 9719 12.158 1378 0.009 162,041 12.061
 Routine MRI + CT + BS 13,098 12.160 3379 0.002 1,923,004 12.029
 Routine PET/CT 19,470 12.174 6373 0.014 454,793 11.979
Stage III
 Routine clinical physical examination 8421 11.452 11.367
 cfEBV DNA-guided MRI + CT + BS 10,562 11.497 2141 0.046 46,860 11.392
 cfEBV DNA-guided PET/CT 12,259 11.513 1697 0.016 108,549 11.390
 Routine MRI + CT + BS 16,149 11.514 3891 0.001 2,780,611 11.353
 Routine PET/CT 23,765 11.538 7615 0.024 318,452 11.300
Stage IV
 Routine clinical physical examination 10,101 9.869 9.768
 cfEBV DNA-guided MRI + CT + BS 12,845 9.947 2744 0.079 34,906 9.819
 cfEBV DNA-guided PET/CT 14,788 9.978 1944 0.031 62,269 9.831
 Routine MRI + CT + BS 18,363 9.978 3574 -0.001 Dominatedd 9.794
 Routine PET/CT 26,342 10.022 11,553 0.044 262,724 9.759

Abbreviations: BS, bone scintigraphy; cfEBV, cell-free Epstein-Barr virus; CT, computed tomography; ICER, incremental cost-effectiveness ratio; MRI, magnetic resonance imaging; NHB, net health benefit; PET/CT, positron emission tomography/computed tomography; QALY, quality-adjusted life-year

a Routine clinical physical examination consists of history and physical examinations, complete blood counts, comprehensive metabolic panels and nasopharyngoscopies. Other strategies also include routine clinical physical examination. Please see the manuscript for the full description of each strategy

b Incremental values were compared with the previous less costly and nondominated strategy

c Calculated at the willingness-to-pay threshold of $100,000 using the following formula: effectiveness − cost/willingness-to-pay. Strategies with the highest NHB values, highlighted in bold, are considered the most cost-effective

d Refer to a strategy that is less effective and more costly than another strategy

Next, we scrutinized the most cost-effective strategies in each stage of asymptomatic NPC patients (Table 1). For patients with stage I disease, cfEBV DNA-guided imaging strategies were only associated with a 0.01 gain in QALY compared with routine clinical physical examination. This translated to relatively large ICERs for cfEBV DNA-guided MRI + CT + BS ($119,368/QALY) and cfEBV DNA-guided PET/CT ($518,871/QALY), both surpassing the willingness-to-pay threshold. Therefore, routine follow-up was adequate for stage I NPC patients. However, in stage II and III, cfEBV DNA-guided MRI + CT + BS was the most cost-effective strategy, with ICERs of $57,308/QALY and $46,860/QALY, respectively, compared with routine clinical physical examination. Intriguingly, for patients with stage IV disease, cfEBV DNA-guided PET/CT became the most cost-effective, with an ICER of $62,269/QALY compared with cfEBV DNA-guided MRI + CT + BS. Likewise, the results of NHBs supported the same strategies mentioned above; the strategies with the highest NHBs were routine clinical physical examination in stage I (NHB, 13.166/QALY), cfEBV DNA-guided MRI + CT + BS in stage II (12.066/QALY) and stage III (11.392/QALY), and cfEBV DNA-guided PET/CT in stage IV (9.831/QALY). The preferred strategy in each stage is summarized in Fig. 1.

Fig. 1.

Fig. 1

The cost-effective posttreatment surveillance strategy in each stage of nasopharyngeal carcinoma. The cfEBV DNA-guided MRI + CT + BS and cfEBV DNA-guided PET/CT refer to routine clinical and physical examinations and cfEBV DNA tests, followed by further imaging studies when the results are positive. Abbreviations: BS, bone scintigraphy; cfEBV, cell-free Epstein-Barr virus; CT, computed tomography; H&P, history and physical examination; MRI, magnetic resonance imaging; PET/CT, positron emission tomography/computed tomography; T, test

To further clarify the superiority of cfEBV DNA-guided imaging strategies over routine imaging strategies, we compared their average number of imaging studies required to detect one disease recurrence (Table 2). While routine imaging strategies resulted in a 5-year total of 97,493 to 118,328 imaging studies being performed per 10,000 patients, the cfEBV DNA-guided imaging strategies only required 19,676 to 25,893 imaging studies to detect a comparable number of recurrences as routine imaging strategies. Ultimately, compared with routine imaging strategies, cfEBV DNA-guided imaging strategies only required approximately one quarter of the imaging studies to detect one recurrence. For example, in stage II, routine MRI + CT + BS and routine PET/CT needed 121 and 106 imaging studies to detect one recurrence, respectively, while the guidance of cfEBV DNA decreased the number of imaging studies to 25 and 23, respectively. Therefore, cfEBV DNA-guided imaging strategies were the most favorable option for stage II to IV NPC patients. However, for stage I NPC patients, although the total imaging studies of cfEBV DNA-guided imaging strategies were remarkably fewer than routine imaging strategies, they still required a fair number of studies per recurrence detection (cfEBV DNA-guided MRI + CT + BS, 94; cfEBV DNA-guided PET/CT, 89) due to low recurrence probabilities, suggesting that, despite the guidance of cfEBV DNA, imaging was still unfavorable for them. This result was consistent with the cost-effectiveness analysis mentioned above that routine clinical physical examination was enough for patients with stage I disease.

Table 2.

Number of disease recurrences detected by imaging studies in 5 years per 10,000 patients

Surveillance strategy Imaging-detected local relapse Imaging-detected regional relapse Imaging-detected distant metastasis Total imaging studies performed Imaging studies per recurrencea Pb
Stage I
 cfEBV DNA-guided MRI + CT + BS 102 20 87 19,703 94
 cfEBV DNA-guided PET/CT 103 21 98 19,676 89
 Routine MRI + CT + BS 112 23 78 97,493 457 < .001
 Routine PET/CT 119 24 99 97,519 405 < .001
Stage II
 cfEBV DNA-guided MRI + CT + BS 199 306 354 21,265 25
 cfEBV DNA-guided PET/CT 202 307 399 21,170 23
 Routine MRI + CT + BS 216 316 309 101,670 121 < .001
 Routine PET/CT 228 319 410 101,595 106 < .001
Stage III
 cfEBV DNA-guided MRI + CT + BS 344 339 596 25,010 20
 cfEBV DNA-guided PET/CT 349 340 671 24,855 18
 Routine MRI + CT + BS 368 349 538 118,328 94 < .001
 Routine PET/CT 389 350 672 118,204 84 < .001
Stage IV
 cfEBV DNA-guided MRI + CT + BS 571 484 1166 25,893 12
 cfEBV DNA-guided PET/CT 580 486 1324 25,598 11
 Routine MRI + CT + BS 610 502 1101 117,829 53 < .001
 Routine PET/CT 640 508 1372 117,440 47 < .001

Abbreviations: BS, bone scintigraphy; cfEBV, cell-free Epstein-Barr virus; CT, computed tomography; MRI, magnetic resonance imaging; PET/CT, positron emission tomography/computed tomography

a Indicate the number of imaging studies required to detect one recurrence, which was calculated by dividing the number of total imaging studies by the number of imaging-detected disease recurrences (including local relapse, regional relapse and distant metastasis).

b Two-sided P values were calculated using Welch’s t-test for comparisons between cfEBV DNA-guided MRI + CT + BS and routine MRI + CT + BS; cfEBV DNA-guided PET/CT and routine PET/CT

Sensitivity analysis

To evaluate the results’ robustness, sensitivity analyses were performed on all probabilities, utilities, and costs. In one-way sensitivity analyses, cfEBV DNA-guided imaging strategies were consistently more cost-effective than routine imaging strategies across the range of all parameters (Additional file 1: Fig. S3–6). However, the optimal surveillance strategy in each stage was sensitive to several parameters when compared to the next more costly strategies, with key parameters displayed in Fig. 2A–D.

Fig. 2.

Fig. 2

Tornado diagram of one-way sensitivity analysis. The figure depicts the influence of the variation of each parameter on the ICERs between A routine clinical physical examination and cfEBV DNA-guided MRI + CT + BS in patients with stage I NPC; cfEBV DNA-guided MRI + CT + BS and cfEBV DNA-guided PET/CT in patients with stage B II, C III, and D IV NPC. The parameters accounting for the top 10 uncertainties in each comparison are displayed. The blue bars and red bars illustrate the ICERs that are greater and less than the base-case ICERs, respectively. The orange bars indicate that the ICERs go across the willingness-to-pay threshold, leading to a switch of the most cost-effective strategy. The numbers on both sides of the bars indicate the range of each parameter used in the sensitivity analysis. The solid and dashed lines represent the ICERs in the base-case analysis and the willingness-to-pay threshold of $100,000 per quality-adjusted life-year, respectively. Abbreviations: BS, bone scintigraphy; cfEBV, cell-free Epstein-Barr virus; CT, computed tomography; DM, distant metastasis; ICER, incremental cost-effectiveness ratio; LR, local relapse; MRI, magnetic resonance imaging; NPC, nasopharyngeal carcinoma; PET/CT, positron emission tomography/computed tomography; RR, regional relapse; WTP, willingness-to-pay

In stage I, the optimal strategy was sensitive to the LR probabilities and the specificity of routine clinical physical examination for RR (Fig. 2A). When increasing the LR probabilities to 2.1% or decreasing the specificity of routine clinical physical examination for RR to 65.9%, the preferred strategy would switch from routine clinical physical examination to cfEBV DNA-guided MRI + CT + BS. Nevertheless, all ICERs remained higher than $87,000/QALY when varying the parameters. In stage II–IV, the cost of PET/CT was the principal determinant of the ICERs (Fig. 2B–D). Specifically, if the PET/CT's cost was reduced to $1221, the cfEBV DNA-guided PET/CT would become the optimal strategy in stage III. Conversely, although the cost of PET/CT also had the greatest impact on the ICERs in stage II and IV, varying it did not change the optimal surveillance strategies in the base-case analysis.

The PSA results are illustrated in the cost-effectiveness acceptability curves shown in Fig. 3A–D. With the willingness-to-pay threshold varying from 0 to $200,000/QALY, the probabilities of routine imaging strategies being the optimal strategies were almost zero in stage I–III and less than 10.0% in stage IV. At a willingness-to-pay threshold of $100,000/QALY, routine clinical physical examination was the most cost-effective in 78.2% of the simulations for stage I patients; cfEBV DNA-guided MRI + CT + BS was the most cost-effective in 88.4% and 56.3% of the simulations for stage II and III patients, respectively; and cfEBV DNA-guided PET/CT was the most cost-effective in 96.2% of the simulations for stage IV patients.

Fig. 3.

Fig. 3

Cost-effectiveness acceptability curves. The figure illustrates the acceptability of each surveillance strategy in the probabilistic sensitivity analysis for stage I (A), II (B), III (C), and IV (D) NPC patients. The curves in different colors illustrate the probability of each surveillance strategy being the most cost-effective at a given willingness-to-pay threshold. Abbreviations: BS, bone scintigraphy; cfEBV, cell-free Epstein-Barr virus; CT, computed tomography; MRI, magnetic resonance imaging; NPC, nasopharyngeal carcinoma; PET/CT, positron emission tomography/computed tomography; QALY, quality-adjusted life-year

To examine the cost-effectiveness of cfEBV DNA-guided strategies under different follow-up arrangements, we performed two scenario analyses using the recommended arrangements from the RTOG and NCCN guidelines (Additional file 1: Table S6) [19, 67, 68]. For both scenarios, cfEBV DNA-guided imaging strategies were consistently more cost-effective than routine imaging strategies. The optimal surveillance strategy in each disease stage was in line with the base-case results.

Discussion

To our knowledge, this is the first study to evaluate the liquid biopsy-based surveillance in NPC patients. We found that the cfEBV DNA-guided imaging strategies were remarkably more cost-effective than routine imaging strategies. Specifically, cfEBV DNA-guided MRI + CT + BS was cost-effective for stage II and III patients, while cfEBV DNA-guided PET/CT was cost-effective for stage IV patients. However, routine follow-up was sufficient for stage I NPC patients due to their low recurrence probabilities. Overall, our results highlight the feasibility of cfEBV DNA in the surveillance of NPC.

According to the current NCCN guideline, routine surveillance imaging was not recommended in asymptomatic patients [19], and our analysis agreed with it. However, directly halting imaging would result in delayed diagnoses of recurrence, especially for distant recurrence because many patients are asymptomatic [19, 69]. In fact, surveillance imaging was the most widely used follow-up modality in NPC, and 79% of clinicians would order routine imaging in clinical practice for reassurance, patient requests, etc. [70]. Consequently, undifferentiated imaging surveillance has resulted in considerable economic burdens and resource consumption. Given these circumstances, it is urgent to establish a convenient and reliable method that can distinguish patients at high risk of developing recurrence so as to focus imaging surveillance on them.

cfEBV DNA is an ideal biomarker with low expense and high sensitivity in suggesting disease recurrence. The ESMO and NCCN guidelines both recommended cfEBV DNA tests in NPC follow-up [17, 19]. Therefore, cfEBV DNA-guided imaging strategies are particularly promising. Using cfEBV DNA, patients at risk of recurrence can be identified in order to concentrate surveillance imaging on those who will benefit, thus sparing the unnecessary expense and radiation exposure for those who will not. Compared with routine imaging surveillance, targeting imaging to patients with positive cfEBV DNA gained similar survival benefits but only required one quarter of the imaging to detect one recurrence. This liquid biopsy-based surveillance strategy underscores the practice of precision medicine in the follow-up of cancer survivors, which has been investigated in several malignancies [7173]. For example, Roschewski et al. [72] found that surveillance circulating tumor DNA could accurately suggest recurrence in diffuse large B cell lymphoma, leading to reduced disease burden at recurrence.

Until now, few studies have investigated the optimal follow-up modalities for each stage of NPC [30]. Consequently, despite the substantial heterogeneity of recurrence risk in different disease stages of NPC [1, 22], the ESMO and NCCN guideline failed to recommend stage-specific follow-up strategies [17, 19]. Zhou et al. [30] evaluated the cost-effectiveness of surveillance MRI and recommended annual MRI for patients with advanced tumor stage and no MRI for early stage. However, they did not consider distant recurrence, the predominant failure pattern in NPC [1]. Besides, they did not investigate cfEBV DNA and PET/CT, which have been widely adopted in clinical practice. Our study addressed these unmet needs. We found that cfEBV DNA-guided imaging surveillance is particularly preferable for stage II–IV NPC patients, where selected MRI + CT + BS or PET/CT were performed depending on their disease stages. However, for stage I patients, cfEBV DNA-guided imaging is not recommended due to their fairly good survival, with 10-year overall survival and recurrence-free survival both greater than 95% [74]. Hence, routine follow-up would be sufficient for stage I NPC patients.

Evidence has indicated that PET/CT was more effective than other imaging modalities in detecting recurrent NPC, especially for distant recurrence [19, 31, 34, 37, 75]. However, lacking guidance regarding when to perform PET/CT during NPC surveillance, clinicians have to be critically cautious about prescribing costly PET/CT when following up patients with relatively poor economic conditions. In this study, we found that cfEBV DNA could be a precise indicator to perform PET/CT for patients at risk of recurrence, which was cost-effective in stage IV NPC patients. In addition, we observed that the cost of PET/CT predominantly determined the ICERs between cfEBV DNA-guided PET/CT and cfEBV DNA-guided MRI + CT + BS in the sensitivity analyses. With the discounting of PET/CT, cfEBV DNA-guide PET/CT will be increasingly cost-effective. Therefore, the tradeoffs between the two strategies should be continuously recalibrated to reflect the updated cost of PET/CT in clinical practice, especially among stage III NPC patients where cfEBV DNA-guided PET/CT was near the most cost-effective strategy.

With the growing recognition that cfEBV DNA possessed favorable performance in detecting tumor recurrence [1316, 76], we proposed cfEBV DNA-guided surveillance strategies as references for patients and clinicians in NPC follow-up. Nevertheless, our recommendations should be implemented cautiously. First, although cfEBV DNA demonstrates high sensitivity in detecting RR and DM, it is relatively insensitive to LR [13, 14, 16, 76]. Therefore, cfEBV DNA results should be interpreted with the history and physical examinations and nasopharyngoscopies to comprehensively evaluate the local conditions [76]. Second, cfEBV DNA levels might elevate even before recurrences can be detected on imaging [16, 76]. Hence, patients with detectable cfEBV DNA but negative imaging might require subsequent cfEBV DNA tests (e.g., another cfEBV DNA test 1–3 months later) to distinguish much earlier-stage recurrence from false-positive results, especially for those with high recurrence risk [16].

Several limitations need to be noted. First, the inherent shortcoming of the decision-analytic model was the model inputs determined from various sources. We therefore conducted extensive sensitivity analyses to clarify the uncertainty, and the cfEBV DNA-guided imaging strategy was confirmed to be robustly cost-effective in the sensitivity analysis. Second, the model did not account for secondary recurrences because our study population was patients achieving CR to the primary treatment for NPC. Patients who have experienced recurrence will manifest distinct risks of disease failure, and thus may require different surveillance strategies [8, 77]. Third, since the study is from the Chinese societal perspective, the results might vary with different medical and societal costs. Accordingly, similar analyses in other regions are warranted. Last but not least, the study does not account for non-endemic NPC. NPC in endemic areas, including southern China, Southeast Asia, and North and East Africa, constitutes more than 80% of new cases worldwide [7880], which are mostly the non-keratinising subtype (> 95%) and are invariably associated with EBV infection [81]. However, the keratinising squamous subtype is more common in regions where NPC is non-endemic, e.g., North America and northern Europe [81, 82]. Evidence has indicated that patients with the keratinising squamous subtype tend to have worse survival, poorer local control, and less distant failures than those with the non-keratinising subtype; and their association with EBV infection is relatively low [8184]. Therefore, the applicability of cfEBV DNA-guided surveillance strategies should be carefully re-evaluated in non-endemic areas.

Conclusions

In this model-based analysis of follow-up strategies in NPC, we proposed cfEBV DNA-guided imaging strategies that were the most cost-effective for stage II–IV patients. The liquid biopsy-based surveillance strategies are of high clinical feasibility, which simultaneously takes patient outcomes and resource consumption into account. In the precision medicine era, these results would add new insight into the momentum of liquid biopsy in the surveillance of cancer survivors.

Supplementary Information

12916_2021_2076_MOESM1_ESM.docx (3.6MB, docx)

Additional file 1: Table S1. Model parameters. Table S2. Characteristics of 10,097 patients with nonmetastatic nasopharyngeal carcinoma. Table S3. Age-specific background mortality rate. Table S4. Model validation of the Markov model-predicted overall survival compared with the real-world observed overall survival. Table S5. Base-case cost-effectiveness analysis comparing cfEBV DNA-guided imaging strategies with routine imaging strategies. Table S6. Cost-effectiveness scenario analyses using the RTOG and NCCN surveillance arrangements. Fig. S1. Schematic diagram of the surveillance strategies and the structure of the Markov model. Fig. S2. Validation of the Markov model. Fig. S3. Tornado diagram of one-way sensitivity analysis for stage I NPC patients. Fig. S4. Tornado diagram of one-way sensitivity analysis for stage II NPC patients. Fig. S5. Tornado diagram of one-way sensitivity analysis for stage III NPC patients. Fig. S6. Tornado diagram of one-way sensitivity analysis for stage IV NPC patients.

12916_2021_2076_MOESM2_ESM.docx (89.3KB, docx)

Additional file 2. Supplementary methods.

Acknowledgements

Not applicable.

Abbreviations

BS

Bone scintigraphy

cfEBV

Circulating cell-free Epstein-Barr virus

ESMO

European Society for Medical Oncology

ICER

Incremental cost-effectiveness ratio

NPC

Nasopharyngeal carcinoma

NCCN

National Comprehensive Cancer Network

NHB

Net health benefit

PET/CT

Positron emission tomography/computed tomography

PSA

Probabilistic sensitivity analyses

QALY

Quality-adjusted life-year

Authors’ contributions

YS, GQZ, CFW, LL, YPM, and BD participated in the study concept and design. YS, GQZ, and JM provided administrative support. GQZ, CFW, and LL performed the data acquisition. CFW, LL, YPM, BD, JWL, WHZ, DWW, JK, FPC, XLY, SSX, and GQZ performed the data analysis and interpretation. All authors contributed to the manuscript writing, critical revision, and final approval of the manuscript.

Funding

This work was supported by the Key-Area Research and Development Program of Guangdong Province (2020B1111190001, 2019B020230002) and the Natural Science Foundation of Guangdong Province (2017A030312003). The funders played no role in the design of the study, collection, analysis, and interpretation of data or in writing the manuscript.

Availability of data and materials

The patient-level data utilized in the study, including patient characteristics, treatments, and survival outcomes, have been deposited in the Research Data Deposit public platform with the accession RDD number: RDDA2021001822 (https://www.researchdata.org.cn/Search.aspx?Num = RDDA2021001822); and the data are available from the corresponding authors on reasonable request. All the other data of the study are available within the article and the additional files and from the corresponding authors upon reasonable request.

Declarations

Ethics approval and consent to participate

The study protocol was approved by the institutional ethics committee of Sun Yat-sen University Cancer Center (B2020-410). Given the retrospective nature of the study, the requirement for informed consent was waived.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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

Chen-Fei Wu, Li Lin, Yan-Ping Mao and Bin Deng contributed equally to this work.

Contributor Information

Guan-Qun Zhou, Email: zhougq@sysucc.org.cn.

Ying Sun, Email: sunying@sysucc.org.cn.

References

  • 1.Mao YP, Tang LL, Chen L, Sun Y, Qi ZY, Zhou GQ, Liu LZ, Li L, Lin AH, Ma J. Prognostic factors and failure patterns in non-metastatic nasopharyngeal carcinoma after intensity-modulated radiotherapy. Chin J Cancer. 2016;35(1):103. doi: 10.1186/s40880-016-0167-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Zhang MX, Li J, Shen GP, Zou X, Xu JJ, Jiang R, You R, Hua YJ, Sun Y, Ma J, Hong MH, Chen MY. Intensity-modulated radiotherapy prolongs the survival of patients with nasopharyngeal carcinoma compared with conventional two-dimensional radiotherapy: A 10-year experience with a large cohort and long follow-up. Eur J Cancer. 2015;51(17):2587–2595. doi: 10.1016/j.ejca.2015.08.006. [DOI] [PubMed] [Google Scholar]
  • 3.Zheng WH, He XJ, Chen FP, Lin L, Huang XD, Zhou HQ, Kou J, Lv JW, Ma J, Zhou GQ, Sun Y. Establishing M1 stage subdivisions by incorporating radiological features and Epstein-Barr virus DNA for metastatic nasopharyngeal carcinoma. Ann Transl Med. 2020;8(4):83. doi: 10.21037/atm.2020.01.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Hua YJ, Han F, Lu LX, Mai HQ, Guo X, Hong MH, Lu TX, Zhao C. Long-term treatment outcome of recurrent nasopharyngeal carcinoma treated with salvage intensity modulated radiotherapy. Eur J Cancer. 2012;48(18):3422–3428. doi: 10.1016/j.ejca.2012.06.016. [DOI] [PubMed] [Google Scholar]
  • 5.Li YQ, Tian YM, Tan SH, Liu MZ, Kusumawidjaja G, Ong EHW, Zhao C, Tan TWK, Fong KW, Sommat K, Soong YL, Wee JTS, Han F, Chua MLK. Prognostic model for stratification of radioresistant nasopharynx carcinoma to curative salvage radiotherapy. J Clin Oncol. 2018;36(9):891–899. doi: 10.1200/JCO.2017.75.5165. [DOI] [PubMed] [Google Scholar]
  • 6.Hu J, Bao C, Gao J, Guan X, Hu W, Yang J, Hu C, Kong L, Lu JJ. Salvage treatment using carbon ion radiation in patients with locoregionally recurrent nasopharyngeal carcinoma: Initial results. Cancer. 2018;124(11):2427–2437. doi: 10.1002/cncr.31318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Roman BR, Goldenberg D, Givi B. AHNS Series--Do you know your guidelines? Guideline recommended follow-up and surveillance of head and neck cancer survivors. Head Neck. 2016;38(2):168–174. doi: 10.1002/hed.24100. [DOI] [PubMed] [Google Scholar]
  • 8.Chen YP, Chan ATC, Le QT, Blanchard P, Sun Y, Ma J. Nasopharyngeal carcinoma. Lancet. 2019;394(10192):64–80. doi: 10.1016/S0140-6736(19)30956-0. [DOI] [PubMed] [Google Scholar]
  • 9.Chan KCA, Woo JKS, King A, Zee BCY, Lam WKJ, Chan SL, Chu SWI, Mak C, Tse IOL, Leung SYM, Chan G, Hui EP, Ma BBY, Chiu RWK, Leung SF, van Hasselt AC, Chan ATC, Lo YMD. Analysis of plasma Epstein-Barr virus DNA to screen for nasopharyngeal cancer. N Engl J Med. 2017;377(6):513–522. doi: 10.1056/NEJMoa1701717. [DOI] [PubMed] [Google Scholar]
  • 10.Guo R, Tang LL, Mao YP, Du XJ, Chen L, Zhang ZC, Liu LZ, Tian L, Luo XT, Xie YB, et al. Proposed modifications and incorporation of plasma Epstein-Barr virus DNA improve the TNM staging system for Epstein-Barr virus-related nasopharyngeal carcinoma. Cancer. 2019;125(1):79–89. doi: 10.1002/cncr.31741. [DOI] [PubMed] [Google Scholar]
  • 11.Lv J, Chen Y, Zhou G, Qi Z, Tan KRL, Wang H, Lin L, Chen F, Zhang L, Huang X, Liu R, Xu S, Chen Y, Ma J, Chua MLK, Sun Y. Liquid biopsy tracking during sequential chemo-radiotherapy identifies distinct prognostic phenotypes in nasopharyngeal carcinoma. Nat Commun. 2019;10(1):3941. doi: 10.1038/s41467-019-11853-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Chan ATC, Hui EP, Ngan RKC, Tung SY, Cheng ACK, Ng WT, Lee VHF, Ma BBY, Cheng HC, Wong FCS, et al. Analysis of plasma Epstein-Barr virus DNA in nasopharyngeal cancer after chemoradiation to identify high-risk patients for adjuvant chemotherapy: a randomized controlled trial. J Clin Oncol 2018:Jco2018777847. [DOI] [PubMed]
  • 13.Hsu CL, Chan SC, Chang KP, Lin TL, Lin CY, Hsieh CH, Huang SF, Tsang NM, Lee LY, Ng SH, Wang HM. Clinical scenario of EBV DNA follow-up in patients of treated localized nasopharyngeal carcinoma. Oral Oncol. 2013;49(6):620–625. doi: 10.1016/j.oraloncology.2013.02.006. [DOI] [PubMed] [Google Scholar]
  • 14.Wang WY, Twu CW, Lin WY, Jiang RS, Liang KL, Chen KW, Wu CT, Shih YT, Lin JC. Plasma Epstein-Barr virus DNA screening followed by 18F-fluoro-2-deoxy-D-glucose positron emission tomography in detecting posttreatment failures of nasopharyngeal carcinoma. Cancer. 2011;117(19):4452–4459. doi: 10.1002/cncr.26069. [DOI] [PubMed] [Google Scholar]
  • 15.Li WF, Zhang Y, Huang XB, Du XJ, Tang LL, Chen L, Peng H, Guo R, Sun Y, Ma J. Prognostic value of plasma Epstein-Barr virus DNA level during posttreatment follow-up in the patients with nasopharyngeal carcinoma having undergone intensity-modulated radiotherapy. Chin J Cancer. 2017;36(1):87. doi: 10.1186/s40880-017-0256-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Chen FP, Huang XD, Lv JW, Wen DW, Zhou GQ, Lin L, Kou J, Wu CF, Chen Y, Zheng ZQ, Li ZX, He XJ, Sun Y. Prognostic potential of liquid biopsy tracking in the posttreatment surveillance of patients with nonmetastatic nasopharyngeal carcinoma. Cancer. 2020;126(10):2163–2173. doi: 10.1002/cncr.32770. [DOI] [PubMed] [Google Scholar]
  • 17.Bossi P, Chan AT, Licitra L, Trama A, Orlandi E, Hui EP, et al. Nasopharyngeal carcinoma: ESMO-EURACAN Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2020. [DOI] [PubMed]
  • 18.Lo YM, Chan LY, Chan AT, Leung SF, Lo KW, Zhang J, Lee JC, Hjelm NM, Johnson PJ, Huang DP. Quantitative and temporal correlation between circulating cell-free Epstein-Barr virus DNA and tumor recurrence in nasopharyngeal carcinoma. Cancer Res. 1999;59(21):5452–5455. [PubMed] [Google Scholar]
  • 19.Pfister DG, Spencer S, Adelstein D, Adkins D, Brizel DM, Bruce JY, Busse PM, Caudell JJ, Cmelak AJ. NCCN Clinical Practice Guidelines in Oncology: Head and Neck Cancers. Version 1.2021. https://www.nccn.org. Accessed 12 Nov, 2020. [DOI] [PubMed]
  • 20.Zhou G-Q, Wu C-F, Deng B, Gao T-S, Lv J-W, Lin L, Chen F-p, Kou J, Zhang Z-X, Huang X-D, et al. An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach. Nature Communications 2020, 11(1):3872. [DOI] [PMC free article] [PubMed]
  • 21.Lee AW, Foo W, Law SC, Poon YF, Sze WM. O SK, Tung SY, Chappell R, Lau WH, Ho JH. Recurrent nasopharyngeal carcinoma: the puzzles of long latency. International journal of radiation oncology, biology, physics. 1999;44(1):149–156. doi: 10.1016/S0360-3016(98)00524-0. [DOI] [PubMed] [Google Scholar]
  • 22.Liu X, Tang LL, Du XJ, Li WF, Chen L, Zhou GQ, Guo R, Liu Q, Sun Y, Ma J. Changes in disease failure risk of nasopharyngeal carcinoma over time: analysis of 749 patients with long-term follow-up. J Cancer. 2017;8(3):455–459. doi: 10.7150/jca.17104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sanders GD, Neumann PJ, Basu A, Brock DW, Feeny D, Krahn M, Kuntz KM, Meltzer DO, Owens DK, Prosser LA, Salomon JA, Sculpher MJ, Trikalinos TA, Russell LB, Siegel JE, Ganiats TG. Recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses: second panel on cost-effectiveness in health and medicine. Jama. 2016;316(10):1093–1103. doi: 10.1001/jama.2016.12195. [DOI] [PubMed] [Google Scholar]
  • 24.Braithwaite RS, Meltzer DO, King JT, Jr, Leslie D, Roberts MS. What does the value of modern medicine say about the $50,000 per quality-adjusted life-year decision rule? Med Care. 2008;46(4):349–356. doi: 10.1097/MLR.0b013e31815c31a7. [DOI] [PubMed] [Google Scholar]
  • 25.Neumann PJ, Cohen JT, Weinstein MC. Updating cost-effectiveness--the curious resilience of the $50,000-per-QALY threshold. N Engl J Med. 2014;371(9):796–797. doi: 10.1056/NEJMp1405158. [DOI] [PubMed] [Google Scholar]
  • 26.Stinnett AA, Mullahy J. Net health benefits: a new framework for the analysis of uncertainty in cost-effectiveness analysis. Med Decis Making. 1998;18(2 Suppl):S68–S80. doi: 10.1177/0272989X98018002S09. [DOI] [PubMed] [Google Scholar]
  • 27.Husereau D, Drummond M, Petrou S, Carswell C, Moher D, Greenberg D, Augustovski F, Briggs AH, Mauskopf J, Loder E. Consolidated Health Economic Evaluation Reporting Standards (CHEERS)--explanation and elaboration: a report of the ISPOR Health Economic Evaluation Publication Guidelines Good Reporting Practices Task Force. Value Health. 2013;16(2):231–250. doi: 10.1016/j.jval.2013.02.002. [DOI] [PubMed] [Google Scholar]
  • 28.Kwong DL, Nicholls J, Wei WI, Chua DT, Sham JS, Yuen PW, Cheng AC, Yau CC, Kwong PW, Choy DT. Correlation of endoscopic and histologic findings before and after treatment for nasopharyngeal carcinoma. Head Neck. 2001;23(1):34–41. doi: 10.1002/1097-0347(200101)23:1&#x0003c;34::AID-HED6&#x0003e;3.0.CO;2-#. [DOI] [PubMed] [Google Scholar]
  • 29.Ragab SM, Erfan FA, Khalifa MA, Korayem EM, Tawfik HA. Detection of local failures after management of nasopharyngeal carcinoma: a prospective, controlled trial. J Laryngol Otol. 2008;122(11):1230–1234. doi: 10.1017/S0022215108002016. [DOI] [PubMed] [Google Scholar]
  • 30.Zhou GQ, Wu CF, Zhang J, Mao YP, Tang LL, Chen L, Guo R, Ma J, Sun Y. Cost-effectiveness analysis of routine magnetic resonance imaging in the follow-up of patients with nasopharyngeal carcinoma after intensity modulated radiation therapy. Int J Radiat Oncol Biol Phys. 2018;102(4):1382–1391. doi: 10.1016/j.ijrobp.2018.01.117. [DOI] [PubMed] [Google Scholar]
  • 31.Li Z, Li Y, Li N, Shen L. Positron emission tomography/computed tomography outperforms MRI in the diagnosis of local recurrence and residue of nasopharyngeal carcinoma: An update evidence from 44 studies. Cancer Med. 2019;8(1):67–79. doi: 10.1002/cam4.1882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Merritt RM, Williams MF, James TH, Porubsky ES. Detection of cervical metastasis. A meta-analysis comparing computed tomography with physical examination. Arch Otolaryngol Head Neck Surg. 1997;123(2):149–152. doi: 10.1001/archotol.1997.01900020027004. [DOI] [PubMed] [Google Scholar]
  • 33.Chen WS, Li JJ, Hong L, Xing ZB, Wang F, Li CQ. Comparison of MRI, CT and 18F-FDG PET/CT in the diagnosis of local and metastatic of nasopharyngeal carcinomas: an updated meta analysis of clinical studies. Am J Transl Res. 2016;8(11):4532–4547. [PMC free article] [PubMed] [Google Scholar]
  • 34.Shen G, Zhang W, Jia Z, Li J, Wang Q, Deng H. Meta-analysis of diagnostic value of 18F-FDG PET or PET/CT for detecting lymph node and distant metastases in patients with nasopharyngeal carcinoma. Br J Radiol. 2014;87(1044):20140296. doi: 10.1259/bjr.20140296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gao G, Gong B, Shen W. Meta-analysis of the additional value of integrated 18FDG PET-CT for tumor distant metastasis staging: comparison with 18FDG PET alone and CT alone. Surg Oncol. 2013;22(3):195–200. doi: 10.1016/j.suronc.2013.06.004. [DOI] [PubMed] [Google Scholar]
  • 36.Xu C, Zhang R, Zhang H, Zhang Z. Comparison of (18)FDG PET/PET-CT and bone scintigraphy for detecting bone metastases in patients with nasopharyngeal cancer: a meta-analysis. Oncotarget. 2017;8(35):59740–59747. doi: 10.18632/oncotarget.20026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Xu C, Zhang Y, Peng L, Liu X, Li WF, Sun Y, Zhang X, Lin XP, Liu Q, Ma J. Optimal modality for detecting distant metastasis in primary nasopharyngeal carcinoma during initial staging: a systemic review and meta-analysis of 1774 patients. J Cancer. 2017;8(7):1238–1248. doi: 10.7150/jca.18361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Lv JW, Chen YP, Huang XD, Zhou GQ, Chen L, Li WF, Tang LL, Mao YP, Guo Y, Xu RH, Ma J, Sun Y. Hepatitis B virus screening and reactivation and management of patients with nasopharyngeal carcinoma: a large-scale, big-data intelligence platform-based analysis from an endemic area. Cancer. 2017;123(18):3540–3549. doi: 10.1002/cncr.30775. [DOI] [PubMed] [Google Scholar]
  • 39.Yang J, Song X, Sun X, Liu Q, Hu L, Yu H, Wang D. Outcomes of recurrent nasopharyngeal carcinoma patients treated with endoscopic nasopharyngectomy: a meta-analysis. Int Forum Allergy Rhinol. 2020;10(8):1001–1011. doi: 10.1002/alr.22552. [DOI] [PubMed] [Google Scholar]
  • 40.Han F, Zhao C, Huang SM, Lu LX, Huang Y, Deng XW, Mai WY, Teh BS, Butler EB, Lu TX. Long-term outcomes and prognostic factors of re-irradiation for locally recurrent nasopharyngeal carcinoma using intensity-modulated radiotherapy. Clin Oncol (R Coll Radiol) 2012;24(8):569–576. doi: 10.1016/j.clon.2011.11.010. [DOI] [PubMed] [Google Scholar]
  • 41.Tian YM, Tian YH, Zeng L, Liu S, Guan Y, Lu TX, Han F. Prognostic model for survival of local recurrent nasopharyngeal carcinoma with intensity-modulated radiotherapy. Br J Cancer. 2014;110(2):297–303. doi: 10.1038/bjc.2013.715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tian YM, Huang WZ, Yuan X, Bai L, Zhao C, Han F. The challenge in treating locally recurrent T3-4 nasopharyngeal carcinoma: the survival benefit and severe late toxicities of re-irradiation with intensity-modulated radiotherapy. Oncotarget. 2017;8(26):43450–43457. doi: 10.18632/oncotarget.15896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Lo WC, Wang CP, Ko JY, Lou PJ, Yang TL, Wang CW, Hu YL, Chen TC. Salvage treatment for isolated regional failure of nasopharyngeal carcinoma after primary radiotherapy. Ann Surg Oncol. 2012;19(3):1001–1008. doi: 10.1245/s10434-011-2018-3. [DOI] [PubMed] [Google Scholar]
  • 44.Li X, Lin C, Yan J, Chen Q, Sun X, Liu S, Guo S, Liu L, Xie H, Tang Q, Liang Y, Guo L, Li H, Liu X, Guo X, Tang L, Mai H. Establishment of a prognostic scoring model for regional recurrent nasopharyngeal carcinoma after neck dissection. Cancer Biol Med. 2020;17(1):227–236. doi: 10.20892/j.issn.2095-3941.2019.0263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Shen L, Li W, Wang S, Xie G, Zeng Q, Chen C, Shi F, Zhang Y, Wu M, Shu W, Pan C, Xia Y, Wu P. Image-based multilevel subdivision of M1 category in TNM staging system for metastatic nasopharyngeal carcinoma. Radiology. 2016;280(3):805–814. doi: 10.1148/radiol.2016151344. [DOI] [PubMed] [Google Scholar]
  • 46.World Health Organization. Life tables by country, China. 2018. https://apps.who.int/gho/data/view.main.60340. Accessed Jun 6, 2020.
  • 47.Wu Q, Liao W, Huang J, Zhang P, Zhang N, Li Q. Cost-effectiveness analysis of gemcitabine plus cisplatin versus docetaxel, cisplatin and fluorouracil for induction chemotherapy of locoregionally advanced nasopharyngeal carcinoma. Oral Oncol. 2020;103:104588. doi: 10.1016/j.oraloncology.2020.104588. [DOI] [PubMed] [Google Scholar]
  • 48.Yen RF, Yen MF, Hong RL, Tzen KY, Chien CR, Chen TH. The cost-utility analysis of 18-fluoro-2-deoxyglucose positron emission tomography in the diagnosis of recurrent nasopharyngeal carcinoma. Acad Radiol. 2009;16(1):54–60. doi: 10.1016/j.acra.2008.06.012. [DOI] [PubMed] [Google Scholar]
  • 49.de Almeida JR, Villanueva NL, Moskowitz AJ, Miles BA, Teng MS, Sikora A, Gupta V, Posner M, Genden EM. Preferences and utilities for health states after treatment for oropharyngeal cancer: transoral robotic surgery versus definitive (chemo)radiotherapy. Head Neck. 2014;36(7):923–933. doi: 10.1002/hed.23340. [DOI] [PubMed] [Google Scholar]
  • 50.Meregaglia M, Cairns J. A systematic literature review of health state utility values in head and neck cancer. Health Qual Life Outcomes. 2017;15(1):174. doi: 10.1186/s12955-017-0748-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Szabo SM, Dobson RL, Donato BMK, L’Italien G, Hotte SJ, Levy AR. The quality-of-life impact of head and neck cancer: preference values from the canadian general public. Health Outcomes Research in Medicine. 2012;3(1):e11–e23. doi: 10.1016/j.ehrm.2011.12.001. [DOI] [Google Scholar]
  • 52.You R, Zou X, Hua YJ, Han F, Li L, Zhao C, Hong MH, Chen MY. Salvage endoscopic nasopharyngectomy is superior to intensity-modulated radiation therapy for local recurrence of selected T1-T3 nasopharyngeal carcinoma – a case-matched comparison. Radiother Oncol. 2015;115(3):399–406. doi: 10.1016/j.radonc.2015.04.024. [DOI] [PubMed] [Google Scholar]
  • 53.Koole SN, van Lieshout C, van Driel WJ, van Schagen E, Sikorska K, Kieffer JM, Schagen van Leeuwen JH, HWR S, Hermans RH, de Hingh IH, et al. Cost effectiveness of interval cytoreductive surgery with hyperthermic intraperitoneal chemotherapy in stage III ovarian cancer on the basis of a randomized phase III trial. J Clin Oncol. 2019;37(23):2041–2050. doi: 10.1200/JCO.19.00594. [DOI] [PubMed] [Google Scholar]
  • 54.Zhou Q, Li HL, Gu YT, Li Y, Chen YY, Liu HZ, Feng ZQ, Lin GZ. Economic burden of patients with colorectal cancer and precancerosis in Guangzhou and its influencing factors. China Cancer. 2020;29(1):7–13. [Google Scholar]
  • 55.Huang HY, Shi JF, Guo LW, Bai YN, Liao XZ, Liu GX, Mao AY, Ren JS, Sun XJ, Zhu XY, Wang L, Song BB, du LB, Zhu L, Gong JY, Zhou Q, Liu YQ, Cao R, Mai L, Lan L, Sun XH, Ren Y, Zhou JY, Wang YZ, Qi X, Lou PA, Shi D, Li N, Zhang K, He J, Dai M. Expenditure and financial burden for the diagnosis and treatment of colorectal cancer in China: a hospital-based, multicenter, cross-sectional survey. Chin J Cancer. 2017;36(1):41. doi: 10.1186/s40880-017-0209-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.National Bureau of Statistics of China. China statistical yearbook, 2015, vol. 2020.
  • 57.Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, Dancey J, Arbuck S, Gwyther S, Mooney M, Rubinstein L, Shankar L, Dodd L, Kaplan R, Lacombe D, Verweij J. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1) Eur J Cancer. 2009;45(2):228–247. doi: 10.1016/j.ejca.2008.10.026. [DOI] [PubMed] [Google Scholar]
  • 58.Sun Y. Nasopharyngeal carcinoma cohort: posttreatment liquid biopsy surveillance for endemic nasopharyngeal carcinoma: Epstein-Barr virus DNA as a cost effective follow up method. Research Data Deposit https://www.researchdata.org.cn/Search.aspx?Num=RDDA2021001822 (2020).
  • 59.Amin MB, Edge SB, Greene FL, Byrd DR, Brookland RK, Washington MK, Gershenwald JE, Compton CC, Hess KR, Sullivan DC. AJCC Cancer Staging Manual. 8. New York: Springer International Publishing; 2017. [Google Scholar]
  • 60.ICRU report. Vol. 62: Prescribing, recording, and reporting photon beam therapy. Maryland: International Commission on Radiation Units and Measurements. 1999.
  • 61.ICRU report. Vol. 83: Prescribing, recording, and reporting photon-beam intensity-modulated radiation therapy (IMRT). Maryland: International Commission on Radiation Units and Measurements. 2010.
  • 62.Lai SZ, Li WF, Chen L, Luo W, Chen YY, Liu LZ, Sun Y, Lin AH, Liu MZ, Ma J. How does intensity-modulated radiotherapy versus conventional two-dimensional radiotherapy influence the treatment results in nasopharyngeal carcinoma patients? Int J Radiat Oncol Biol Phys. 2011;80(3):661–668. doi: 10.1016/j.ijrobp.2010.03.024. [DOI] [PubMed] [Google Scholar]
  • 63.Latimer NR. Survival analysis for economic evaluations alongside clinical trials--extrapolation with patient-level data: inconsistencies, limitations, and a practical guide. Med Decis Making. 2013;33(6):743–754. doi: 10.1177/0272989X12472398. [DOI] [PubMed] [Google Scholar]
  • 64.Wan X, Zhang Y, Tan C, Zeng X, Peng L. First-line nivolumab plus ipilimumab vs sunitinib for metastatic renal cell carcinoma: a cost-effectiveness analysis. JAMA Oncol. 2019;5(4):491–496. doi: 10.1001/jamaoncol.2018.7086. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Beck JR, Pauker SG, Gottlieb JE, Klein K, Kassirer JP. A convenient approximation of life expectancy (the "DEALE"). II. Use in medical decision-making. Am J Med. 1982;73(6):889–897. doi: 10.1016/0002-9343(82)90787-2. [DOI] [PubMed] [Google Scholar]
  • 66.Sathianathen NJ, Konety BR, Alarid-Escudero F, Lawrentschuk N, Bolton DM, Kuntz KM. Cost-effectiveness analysis of active surveillance strategies for men with low-risk prostate cancer. Eur Urol. 2019;75(6):910–917. doi: 10.1016/j.eururo.2018.10.055. [DOI] [PubMed] [Google Scholar]
  • 67.Lee N, Harris J, Garden AS, Straube W, Glisson B, Xia P, Bosch W, Morrison WH, Quivey J, Thorstad W, Jones C, Ang KK. Intensity-modulated radiation therapy with or without chemotherapy for nasopharyngeal carcinoma: radiation therapy oncology group phase II trial 0225. J Clin Oncol. 2009;27(22):3684–3690. doi: 10.1200/JCO.2008.19.9109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Lee NY, Zhang Q, Pfister DG, Kim J, Garden AS, Mechalakos J, Hu K, Le QT, Colevas AD, Glisson BS, et al. Addition of bevacizumab to standard chemoradiation for locoregionally advanced nasopharyngeal carcinoma (RTOG 0615): a phase 2 multi-institutional trial. Lancet Oncol. 2012;13(2):172–180. doi: 10.1016/S1470-2045(11)70303-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Dunsky KA, Wehrmann DJ, Osman MM, Thornberry BM, Varvares MA. PET-CT and the detection of the asymptomatic recurrence or second primary lesions in the treated head and neck cancer patient. Laryngoscope. 2013;123(9):2161–2164. doi: 10.1002/lary.23941. [DOI] [PubMed] [Google Scholar]
  • 70.Roman BR, Patel SG, Wang MB, Pou AM, Holsinger FC, Myssiorek D, Goldenberg D, Swisher-McClure S, Lin A, Shah JP, Shea JA. Guideline familiarity predicts variation in self-reported use of routine surveillance PET/CT by physicians who treat head and neck cancer. J Natl Compr Canc Netw. 2015;13(1):69–77. doi: 10.6004/jnccn.2015.0010. [DOI] [PubMed] [Google Scholar]
  • 71.Cai Z, Chen G, Zeng Y, Dong X, Li Z, Huang Y, Xin F, Qiu L, Xu H, Zhang W, Su X, Liu X, Liu J. Comprehensive liquid profiling of circulating tumor DNA and protein biomarkers in long-term follow-up patients with hepatocellular carcinoma. Clinical Cancer Research. 2019;25(17):5284–5294. doi: 10.1158/1078-0432.CCR-18-3477. [DOI] [PubMed] [Google Scholar]
  • 72.Roschewski M, Dunleavy K, Pittaluga S, Moorhead M, Pepin F, Kong K, Shovlin M, Jaffe ES, Staudt LM, Lai C, Steinberg SM, Chen CC, Zheng J, Willis TD, Faham M, Wilson WH. Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B-cell lymphoma: a correlative biomarker study. Lancet Oncol. 2015;16(5):541–549. doi: 10.1016/S1470-2045(15)70106-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Van Tilborg AA, Bangma CH, Zwarthoff EC. Bladder cancer biomarkers and their role in surveillance and screening. Int J Urol. 2009;16(1):23–30. doi: 10.1111/j.1442-2042.2008.02174.x. [DOI] [PubMed] [Google Scholar]
  • 74.Tang LQ, Lu TY, Li Y, Guo SY, Zhong QY, Zou MS, Chen BL, Tang QN, Chen WH, Guo SS, Liu LT, Chen QY, Guo L, Mo HY, Sun R, Luo DH, Zhao C, Qian CN, Guo X, Zeng MS, Mai HQ. Patterns of failure and survival trends of 720 patients with stage I nasopharyngeal carcinoma diagnosed from 1990 to 2012: a large-scale retrospective cohort study. J Cancer. 2018;9(7):1308–1317. doi: 10.7150/jca.21009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Chua ML, Ong SC, Wee JT, Ng DC, Gao F, Tan TW, Fong KW, Chua ET, Khoo JB, Low JS. Comparison of 4 modalities for distant metastasis staging in endemic nasopharyngeal carcinoma. Head Neck. 2009;31(3):346–354. doi: 10.1002/hed.20974. [DOI] [PubMed] [Google Scholar]
  • 76.Hong RL, Lin CY, Ting LL, Ko JY, Hsu MM. Comparison of clinical and molecular surveillance in patients with advanced nasopharyngeal carcinoma after primary therapy: the potential role of quantitative analysis of circulating Epstein-Barr virus DNA. Cancer. 2004;100(7):1429–1437. doi: 10.1002/cncr.20129. [DOI] [PubMed] [Google Scholar]
  • 77.Zhang L, Huang Y, Hong S, Yang Y, Yu G, Jia J, Peng P, Wu X, Lin Q, Xi X, Peng J, Xu M, Chen D, Lu X, Wang R, Cao X, Chen X, Lin Z, Xiong J, Lin Q, Xie C, Li Z, Pan J, Li J, Wu S, Lian Y, Yang Q, Zhao C. 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):1883–1892. doi: 10.1016/S0140-6736(16)31388-5. [DOI] [PubMed] [Google Scholar]
  • 78.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–249. doi: 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
  • 79.Wong KCW, Hui EP, Lo K-W, Lam WKJ, Johnson D, Li L, et al. Nasopharyngeal carcinoma: an evolving paradigm. Nature Reviews Clin Oncol. 2021. 10.1038/s41571-021-00524-x. [DOI] [PubMed]
  • 80.Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F. Global Cancer Observatory: Cancer Today. International Agency for Research on Cancer, Lyon, France. 2020. https://gco.iarc.fr/today. Accessed 5 July 2021.
  • 81.Chua MLK, Wee JTS, Hui EP, Chan ATC. Nasopharyngeal carcinoma. Lancet. 2016;387(10022):1012–1024. doi: 10.1016/S0140-6736(15)00055-0. [DOI] [PubMed] [Google Scholar]
  • 82.Marks JE, Phillips JL, Menck HR. The National Cancer Data Base report on the relationship of race and national origin to the histology of nasopharyngeal carcinoma. Cancer. 1998;83(3):582–588. doi: 10.1002/(SICI)1097-0142(19980801)83:3&#x0003c;582::AID-CNCR29&#x0003e;3.0.CO;2-R. [DOI] [PubMed] [Google Scholar]
  • 83.Pathmanathan R, Prasad U, Chandrika G, Sadler R, Flynn K, Raab-Traub N. Undifferentiated, nonkeratinizing, and squamous cell carcinoma of the nasopharynx. Variants of Epstein-Barr virus-infected neoplasia. Am J Pathol. 1995;146(6):1355–1367. [PMC free article] [PubMed] [Google Scholar]
  • 84.McDowell L, Lim A, Corry J. Nasopharyngeal Carcinoma in Nonendemic Populations. In: Raghavan D, Ahluwalia MS, Blanke CD, Brown J, Kim ES, Reaman GH, Sekeres MA, editors. Textbook of Uncommon Cancer. 5. Hoboken: Wiley; 2017. pp. 165–195. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12916_2021_2076_MOESM1_ESM.docx (3.6MB, docx)

Additional file 1: Table S1. Model parameters. Table S2. Characteristics of 10,097 patients with nonmetastatic nasopharyngeal carcinoma. Table S3. Age-specific background mortality rate. Table S4. Model validation of the Markov model-predicted overall survival compared with the real-world observed overall survival. Table S5. Base-case cost-effectiveness analysis comparing cfEBV DNA-guided imaging strategies with routine imaging strategies. Table S6. Cost-effectiveness scenario analyses using the RTOG and NCCN surveillance arrangements. Fig. S1. Schematic diagram of the surveillance strategies and the structure of the Markov model. Fig. S2. Validation of the Markov model. Fig. S3. Tornado diagram of one-way sensitivity analysis for stage I NPC patients. Fig. S4. Tornado diagram of one-way sensitivity analysis for stage II NPC patients. Fig. S5. Tornado diagram of one-way sensitivity analysis for stage III NPC patients. Fig. S6. Tornado diagram of one-way sensitivity analysis for stage IV NPC patients.

12916_2021_2076_MOESM2_ESM.docx (89.3KB, docx)

Additional file 2. Supplementary methods.

Data Availability Statement

The patient-level data utilized in the study, including patient characteristics, treatments, and survival outcomes, have been deposited in the Research Data Deposit public platform with the accession RDD number: RDDA2021001822 (https://www.researchdata.org.cn/Search.aspx?Num = RDDA2021001822); and the data are available from the corresponding authors on reasonable request. All the other data of the study are available within the article and the additional files and from the corresponding authors upon reasonable request.


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