Volume 6, Issue 4 e70143
ORIGINAL ARTICLE
Open Access

Subsequent Survival and Loss of Lifetime for Patients With Progression-Free 24 Months After Treatment in Nasopharyngeal Carcinoma: A Comprehensive Nationwide Population-Based Analysis

Yang Liu

Yang Liu

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Yaqian Han

Yaqian Han

Department of Radiation Oncology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China

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Mei Feng

Mei Feng

Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China

Department of Medical Oncology, the Third People's Hospital of Sichuan, Chengdu, China

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Ye Zhang

Ye Zhang

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Kai Wang

Kai Wang

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Yuan Qu

Yuan Qu

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Xuesong Chen

Xuesong Chen

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Jianghu Zhang

Jianghu Zhang

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Jingwei Luo

Jingwei Luo

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Runye Wu

Runye Wu

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Ye-Xiong Li

Ye-Xiong Li

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Xiaodong Huang

Xiaodong Huang

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

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Qiuyan Chen

Corresponding Author

Qiuyan Chen

Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Centre, State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China

Correspondence: Junlin Yi ([email protected]) | Jingbo Wang ([email protected]) | Qiuyan Chen ([email protected])

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Jingbo Wang

Corresponding Author

Jingbo Wang

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Correspondence: Junlin Yi ([email protected]) | Jingbo Wang ([email protected]) | Qiuyan Chen ([email protected])

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Junlin Yi

Corresponding Author

Junlin Yi

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Hebei Cancer Hospital, Chinese Academy of Medical Sciences (CAMS), Langfang, China

Correspondence: Junlin Yi ([email protected]) | Jingbo Wang ([email protected]) | Qiuyan Chen ([email protected])

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First published: 20 March 2025

Yang Liu, Yaqian Han, and Mei Feng contributed equally to this work.

Funding: This work was supported by the National Natural Science Foundation of China (81172125), National Key Research and Development Program of China (2023YFC2411602), National High Level Hospital Clinical Research Funding (2022-CICAMS-80102022203), Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M-C&T-A-018), Beijing Xisike Clinical Oncology Research Foundation (Y-HR2020QN-0984) and the Beijing Hope Run Fund (LC2021L06 and LC2022A26).

ABSTRACT

Currently, there is little evidence supporting the use of early endpoints to assess primary treatment outcomes in nasopharyngeal carcinoma (NPC). We aim to explore the relationship between 24-month progression-free survival (PFS24) and subsequent overall survival (sOS) as well as loss of lifetime (LoL) in NPC patients. sOS is defined as survival from the 24-month point or progression within 24 months leading to mortality. LoL represents the reduction in life expectancy due to NPC, compared to the general population matched by age, sex, and calendar year. The standardized mortality ratio (SMR) is defined as the ratio of observed mortality to expected mortality. The study included 6315 patients from nonendemic and endemic regions of China. Among them, 5301 patients (83.9%) achieved PFS24, with a 5-year sOS of 90.2% and an SMR of 1.0. Over a 10-year period following treatment, the mean LoL was only 0.01 months/year. For most subgroups, patients achieving PFS24 exhibited comparable sOS and LoL with the general population. However, patients failing to achieve PFS24 showed significantly worse outcomes, with 5-year sOS of 21.9%, SMR of 23.7, and LoL of 6.48 months/year. These notable outcome disparities highlight the importance of PFS24 in NPC risk stratification, patient monitoring, and study design.

1 Introduction

Nasopharyngeal carcinoma (NPC) is the most predominant head and neck cancer in China. A majority of NPC patients present with locally advanced disease, with distant metastases primarily responsible for treatment failure [1, 2]. The overall survival (OS) rates at 5 years for non-metastatic NPC have reached 80%–90% in the era of comprehensive treatment [1]. Despite implementation of modern treatments, a notable subset of patients still encounter disease progression or recurrence [1, 2]. Consequently, there is a need to improve the overall outcomes in this setting, including early detection of recurrence through close surveillance and the development of more effective treatment modalities through prospective clinical trials.

Progression-free survival at 24 months (PFS24) is recognized as a key milestone for patient stratification in a variety of malignant hematologic tumors, because subsequent overall survival (sOS) rates after PFS24 are comparable with that of the general (background) population [3-6]. These novel survival assessment metrics represent meaningful clinical benchmarks to predict the outcomes of cancer patients. However, the implications of PFS24 on NPC remain unclear. The influence of achieving PFS24 on sOS and loss of lifetime (LoL) requires further study. If confirmed, however, PFS24 may become a valid endpoint to assist in the optimization of posttreatment surveillance strategies as well as the acceleration of the clinical trial process by establishing PFS24 as a surrogate endpoint.

To determine the reliability of PFS24 in a real-world setting, we assessed sOS and LoL stratified by PFS24 using large-scale individual data of patients with NPC from North, Central, Southwest, and South China.

2 Results

2.1 Patient Demographics and Survival Outcomes

This comprehensive analysis included 3052 patients from the National Cancer Center cohort (nonendemic region, Beijing) and 3263 patients from the endemic regions, with 1996 patients from Guangzhou, 717 from Sichuan, and 550 from Hunan. Figure 1 provides the comprehensive overview of the process for selecting patients. The ratio of patients from endemic regions to those from nonendemic regions was 1.1:1. Cohort-specific and aggregated patient features are presented in Table S1. With a median age of 47 years, the cohort had a male-to-female ratio of 2.9:1. The majority of patients presented with locally advanced disease (48.2% stage III and 37.4% stage IV). The primary treatment modalities included intensity-modulated radiation therapy (IMRT) alone in 21.1% of cases, concurrent chemoradiotherapy (CCRT) in 44.9%, and induction chemotherapy (IC) followed by CCRT (IC+CCRT) in 25.2%. A detailed summary is presented in Table 1.

Details are in the caption following the image
Diagram of the study patient's identification. IMRT, intensity-modulated radiation therapy; NPC, nasopharyngeal carcinoma.
TABLE 1. Clinical characteristics and treatment outcomes of 6315 nasopharyngeal carcinoma patients.
Characteristics No. of patients (%) 5-Year OS (95% CI) p value SMR (95% CI) p value
All patients 6315 (100) 83.1 (82.0, 84.2) 3.0 (2.9, 3.1) <0.001
Sex <0.001
Male 4685 (74.2) 81.4 (80.1, 82.8) 3.0 (2.9, 3.1) <0.001
Female 1630 (25.8) 86.3 (84.3, 88.3) 2.8 (2.6, 3.0) <0.001
Age (years) <0.001
<48 3181 (50.4) 86.5 (85.1, 87.9) 8.0 (7.8, 8.3) <0.001
≥48 3134 (49.6) 78.8 (77.1, 80.5) 2.1 (2.0, 2.2) <0.001
KPS score 0.200
≥80 6076 (96.2) 83.2 (82.1, 84.3) 3.0 (2.9, 3.1) <0.001
<80 239 (3.8) 79.2 (73.1, 85.8) 3.2 (2.7, 3.7) <0.001
Pathology <0.001
WHO II 969 (15.3) 78.3 (75.5, 81.1) 3.4 (3.2, 3.6) <0.001
WHO III 5158 (81.7) 83.8 (82.6, 85.0) 2.9 (2.8, 3.0) <0.001
Other 188 (3.0) 79.7 (73.2, 86.8) 2.8 (2.3, 3.3) <0.001
AJCC 8th T stage <0.001
T1 816 (12.9) 89.7 (87.3, 92.1) 1.6 (1.4, 1.9) <0.001
T2 1017 (16.1) 88.4 (86.1, 90.7) 2.1 (1.9, 2.4) <0.001
T3 2885 (45.7) 86.3 (84.9, 87.8) 2.4 (2.3, 2.6) <0.001
T4 1597 (25.3) 69.6 (67.0, 72.3) 5.5 (5.4, 5.7) <0.001
AJCC 8th N stage <0.001
N0 744 (11.8) 91.0 (88.5, 93.6) 1.2 (1.0, 1.4) 0.300
N1 2189 (34.7) 87.8 (86.1, 89.4) 2.2 (2.0, 2.3) <0.001
N2 2404 (38.1) 81.1 (79.3, 83.0) 3.5 (3.4, 3.7) <0.001
N3 978 (15.5) 69.6 (66.3, 73.1) 6.9 (6.6, 7.2) <0.001
AJCC 8th clinical stage <0.001
I 188 (3.0) 96.9 (93.9, 100.0) 0.6 (0.3, 1.3) 0.098
II 723 (11.4) 91.7 (89.3, 94.2) 1.5 (1.3, 1.7) 0.006
III 3045 (48.2) 89.6 (88.4, 90.9) 1.8 (1.7, 2.0) <0.001
IVA 2359 (37.4) 70.3 (68.1, 72.5) 5.7 (5.6, 5.9) <0.001
EBV DNA (copies/mL) <0.001
<2000 4824 (76.4) 83.7 (82.5, 84.9) 2.3 (2.2, 2.5) <0.001
2000–20,000 942 (14.9) 79.8 (76.4, 83.4) 3.9 (3.6, 4.2) <0.001
>20000 549 (8.7) 76.2 (71.2, 81.5) 6.5 (6.0, 6.9) <0.001
LDH (U/L) <0.001
<240 5604 (88.8) 83.9 (82.7, 85.0) 2.9 (2.8, 3.0) <0.001
≥240 711 (11.2) 72.8 (68.7, 77.1) 6.9 (6.5, 7.4) <0.001
Treatment modality <0.001
CCRT 2835 (44.9) 83.7 (82.1, 85.3) 3.4 (3.2, 3.5) <0.001
IMRT 1333 (21.1) 83.8 (81.6, 86.0) 1.7 (1.6, 1.8) <0.001
IC+CCRT 1594 (25.2) 81.2 (78.6, 84.0) 5.0 (4.7, 5.3) <0.001
IC+IMRT 234 (3.7) 71.1 (63.9, 79.1) 5.7 (5.1, 6.3) <0.001
CCRT+AC 135 (2.1) 78.2 (71.0, 86.1) 7.6 (6.6, 8.6) <0.001
IC+CCRT+AC 145 (2.3) 85.8 (77.7, 94.6) 4.7 (3.7, 6.0) 0.004
IMRT+AC 13 (0.2) 65.8 (43.3, 100.0) 13.7 (10.9, 17.2) 0.026
IC+IMRT+AC 26 (0.4) 96.0 (88.6, 100.0) 1.8 (0.4, 7.5) 0.659
  • Abbreviations: AC, adjuvant chemotherapy; AJCC, American Joint Committee on Cancer; CCRT, concurrent chemoradiotherapy; CI, confidence interval; EBV DNA, Epstein–Barr virus DNA; IC, induction chemotherapy; IMRT, intensity-modulated radiation therapy; KPS, Karnofsky Performance Status; LDH, lactate dehydrogenase; OS, overall survival; SMR, standardized mortality ratio.
  • a Age was dichotomized into two subgroups based on the median value.
  • b The cutoff of pretreatment cfEBV-DNA was set at 2000 copies/mL based on previous well-recognized studies.
  • c The cutoff values of LDH (240 U/L) have demonstrated powerful prognostic value in previous research.
  • * p < 0.05.
  • ** p < 0.01.
  • *** p < 0.001.

The median follow-up period for survivors was 76 months, of which 1548 patients (24.5%) experienced progression and 1006 patients (15.9%) died. The 5-year OS and PFS rates across all cohorts were 83.1% and 74.9%, respectively. The OS and PFS curves are presented in Figure S1. Univariate analysis revealed that sex, age, pathology, TNM staging, Epstein–Barr virus (EBV) DNA copies, lactate dehydrogenase (LDH), and treatment modality were significantly correlated with 5-year OS (Table 1). Figure 2A shows the annual hazard rate trajectory. Following initial treatment, 1014 (65.5%) cases of progression and 440 (43.7%) deaths occurred within 24 months. In concordance, smoothed hazard plots revealed that the peak annual hazard of progression was 10.3% within the initial 24 months and then decreased continuously. Furthermore, after 24 months, the annual hazard of death remained essentially constant at 4.0%.

Details are in the caption following the image
(A) The annual hazard rate trajectory for overall death and progression in the entire cohort. OS of NPC versus the expected OS based on the general population for (B) all patients; (C) all patients achieving PFS24; (D) all patients failing PFS24; (E) stage I–III patients achieving PFS24; (F) stage I–III patients failing PFS24; (G) stage IVA patients achieving PFS24; (H) stage IVA patients failing PFS24. CI, confidence interval; NPC, nasopharyngeal carcinoma; OS, overall survival; PFS24, 24-month progression-free survival following initial treatment; SMR, standardized mortality ratio.

The 5-year OS was considerably lower in the entire study cohort (83.1%) compared with that in the matched background population (94.7%). Additionally, the SMR from the initial treatment was 3.0 (Figure 2B). Of note, Kaplan–Meier analysis had an estimated 2-year PFS rate of 83.8%, which was most similar to the 5-year OS rate (83.1%) compared with PFS at 12 months (90.3%) and 36 months (79.9%). This suggests that the PFS24 milestone is an important metric for subsequent evaluations.

2.2 PFS24 and Subsequent OS

All 6315 patients completed adequate follow-up for the PFS24 assessment. Of these, 5301 (83.9%) achieved progression-free status after 24 months. In cases who achieved PFS24, the median OS was not reached (5-year sOS, 90.2%; Figure 2C). Minimal disparity was observed in the PFS24-associated actual death rate compared with the expected death rate (SMR 1.0, p = 0.478). Table 1 lists the OS and SMR at 5 years for the subgroups. Conversely, for patients experiencing progression within 24 months, the median sOS was limited to 25.0 months. The 5-year sOS rate post-progression was 21.9%, with an SMR of 23.8 (p < 0.001; Figure 2D).

2.3 Exploratory Subgroup Analysis Between PFS24 and Subsequent OS

Substantial variability of the clinical outcomes in the NPC subgroups prompted us to examine subgroup-specific outcomes contingent upon PFS24 (Table 2). Patients in most subgroups exhibited actual death rates similar to the expected death rates after reaching PFS24.

TABLE 2. Subsequent outcomes based on achieving or failing PFS24 in subgroups.
Outcomes from time of achieving PFS24 (n = 5301) Outcomes from time of failing PFS24 (n = 1014)
Characteristics No. of patients (%) 5-Year sOS (95% CI) p value SMR (95% CI) p value No. (%) 5-Year sOS (95% CI) p value SMR (95% CI) p value
All patients 5301 (83.9) 90.2 (89.0, 91.4) 1.0 (1.0, 1.1) 0.478 1014 (16.1) 21.9 (18.9, 25.4) 23.8 (23.5, 24.1) <0.001
Sex 0.090 0.020
Male 3890 (83.0) 89.8 (88.4, 91.2) 1.0 (0.9, 1.1) 0.482 795 (17.0) 20.1 (16.8, 24.0) 22.8 (22.4, 23.1) <0.001
Female 1411 (86.6) 91.2 (88.9, 93.5) 1.1 (0.9, 1.3) 0.471 219 (13.4) 29.2 (22.6, 37.6) 28.2 (27.4, 29.1) <0.001
Age (years) <0.001 <0.001
<48 2705 (85.0) 93.6 (92.2, 95.0) 2.4 (2.1, 2.7) <0.001 476 (15.0) 25.3 (20.6, 31.1) 72.4 (71.5, 73.4) <0.001
≥48 2596 (82.8) 86.5 (84.5, 88.5) 0.8 (0.7, 0.9) 0.005 538 (17.2) 19.1 (15.4, 23.6) 15.9 (15.5, 16.2) <0.001
KPS score 0.900 0.040
≥80 5108 (84.1) 90.2 (89.0, 91.4) 1.1 (1.0, 1.2) 0.403 968 (15.9) 22.6 (19.5, 26.2) 24.1 (23.8, 24.1) <0.001
<80 193 (80.8) 92.1 (86.0, 98.6) 0.8 (0.4, 1.5) 0.524 46 (19.2) 7.3 (2.0, 26.8) 18.4 (17.1, 19.9) <0.001
Pathology 0.300 0.100
WHO II 767 (79.2) 87.2 (84.3, 90.3) 1.2 (1.0, 1.5) 0.136 202 (20.8) 16.4 (11.3, 23.6) 22.3 (21.6, 23.0) <0.001
WHO III 4388 (85.1) 90.9 (89.6, 92.2) 1.1 (1.0, 1.2) 0.553 770 (14.9) 23.7 (20.1, 28.0) 24.0 (23.6, 24.4) <0.001
Other 146 (77.7) 93.5 (86.9, 100.0) 0.6 (0.2, 1.3) 0.111 42 (22.3) 26.1 (14.2, 47.9) 22.1 (20.5, 23.9) <0.001
AJCC 8th T stage <0.001 <0.001
T1 732 (89.7) 92.3 (89.5, 95.1) 0.8 (0.6, 1.0) 0.082 84 (10.3) 35.2 (25.3, 49.0) 18.0 (16.9, 19.1) <0.001
T2 885 (87.0) 93.6 (91.2, 96.0) 0.8 (0.6, 1.1) 0.187 132 (13.0) 32.6 (24.0, 44.1) 24.2 (23.2, 25.3) <0.001
T3 2477 (85.9) 93.3 (91.7, 94.8) 0.7 (0.6, 0.9) 0.001 408 (14.1) 23.1 (18.3, 29.1) 20.6 (20.1, 21.1) <0.001
T4 1207 (75.6) 80.8 (77.5, 84.1) 2.1 (1.9, 2.3) <0.001 390 (24.4) 14.2 (10.3, 19.5) 29.0 (28.4, 29.6) <0.001
AJCC 8th N stage 0.090 0.030
N0 700 (94.1) 91.7 (88.5, 95.1) 0.6 (0.4, 0.9) 0.001 44 (5.9) 14.1 (4.7, 42.2) 16.1 (15.0, 17.3) <0.001
N1 1952 (89.2) 91.0 (89.1, 93.0) 1.0 (0.8, 1.1) 0.730 237 (10.8) 22.9 (16.8, 31.3) 16.0 (15.5, 16.6) <0.001
N2 1966 (81.8) 90.3 (88.4, 92.2) 1.2 (1.1, 1.4) 0.064 438 (18.2) 22.6 (18.2, 28.2) 27.1 (26.5, 27.7) <0.001
N3 683 (69.8) 85.9 (82.0, 90.0) 1.7 (1.5, 2.1) 0.002 295 (30.2) 22.2 (17.1, 28.7) 32.4 (31.7, 33.2) <0.001
AJCC 8th clinical stage <0.001 <0.001
I 186 (98.9) 93.0 (86.5, 99.9) 0.5 (0.2, 1.2) 0.043 2 (1.1) 50.0 (12.5, 100.0) 12.5 (7.2, 21.5) 0.527
II 668 (92.4) 92.3 (89.2, 95.4) 0.9 (0.7, 1.2) 0.480 55 (7.6) 31.6 (18.2, 55.0) 15.3 (14.0, 16.6) <0.001
III 2697 (88.6) 94.3 (93.0, 95.6) 0.6 (0.5, 0.8) <0.001 348 (11.4) 29.7 (24.2, 36.5) 18.0 (17.5, 18.6) <0.001
IVA 1750 (74.2) 83.3 (80.8, 86.0) 1.9 (1.8, 2.1) <0.001 609 (25.8) 17.1 (13.7, 21.3) 29.1 (28.6, 29.6) <0.001
EBV DNA (copies/mL) 0.600 0.200
<2000 3216 (66.7) 90.5 (89.2, 91.8) 1.0 (0.9, 1.2) 0.505 715 (14.8) 22.0 (18.6, 26.1) 22.2 (21.7, 22.7) <0.001
2000–20,000 769 (81.6) 88.4 (83.8, 93.2) 1.2 (0.9, 1.5) 0.424 173 (18.4) 25.6 (18.4, 35.7) 17.9 (17.2, 18.7) <0.001
>20,000 423 (77.0) 90.4 (84.6, 96.5) 1.1 (0.7, 1.8) 0.654 126 (23.0) 12.5 (4.5, 34.5) 36.5 (35.2, 37.8) <0.001
LDH (U/L) 0.600 0.030
<240 4778 (85.3) 90.4 (89.1, 91.6) 1.0 (1.0, 1.1) 0.600 826 (14.7) 22.9 (19.6, 26.8) 21.7 (21.4, 22.1) <0.001
≥240 523 (73.6) 88.2 (83.0, 93.8) 1.2 (0.9, 1.6) 0.418 188 (26.4) 19.8 (13.4, 29.2) 36.3 (35.1, 37.6) <0.001
Treatment modality <0.001 0.200
CCRT 2422 (85.4) 89.6 (87.8, 91.4) 1.1 (1.0, 1.2) 0.012 413 (14.6) 19.6 (15.4, 25.0) 32.8 (32.2, 33.4) <0.001
IMRT 1139 (85.4) 91.1 (89.1, 93.2) 1.3 (1.1, 1.4) 0.002 194 (14.6) 22.4 (16.7, 30.0) 12.4 (11.9, 12.9) <0.001
IC+CCRT 1301 (81.6) 92.5 (90.0, 95.1) 0.7 (0.6, 0.9) 0.237 293 (18.4) 25.9 (19.6, 34.3) 29.9 (29.1, 30.7) <0.001
IC+IMRT 186 (79.5) 81.6 (73.2, 91.0) 1.2 (0.9, 1.6) 0.009 48 (20.5) 19.7 (10.4, 37.3) 24.0 (22.6, 25.6) <0.001
CCRT+AC 102 (75.6) 94.6 (88.8, 100.0) 2.4 (1.8, 3.2) 0.948 33 (24.4) 21.3 (10.5, 42.9) 42.7 (40.2, 45.3) <0.001
IC+CCRT+AC 118 (81.4) 96.7 (94.8, 98.6) 1.0 (0.3, 2.9) 0.733 27 (18.6) 27.4 (19.9, 34.9) 27.2 (24.2, 30.6) <0.001
IMRT+AC 10 (76.9) 1.2 (0.5, 3.4) 0.110 3 (23.1) 27.3 (21.0, 35.4) 0.194
IC+IMRT+AC 23 (88.5) 10.3 (7.3, 14.5) <0.001 3 (11.5) 83.8 (67.7, 103.7) 0.427
  • Abbreviations: AC, adjuvant chemotherapy; AJCC, American Joint Committee on Cancer; CCRT, concurrent chemoradiotherapy; CI, confidence interval; EBV DNA, Epstein–Barr virus DNA; IC, induction chemotherapy; IMRT, intensity-modulated radiation therapy; KPS, Karnofsky Performance Status; LDH, lactate dehydrogenase; PFS, progression-free survival; SMR, standardized mortality ratio.; sOS, subsequent overall survival.
  • * p < 0.05.
  • *** p < 0.001.

Of note, despite significant the divergence of OS among the subgroups with distinct baseline EBV DNA abundance (Table 1), these differences disappeared after achieving PFS24, with a 5-year sOS of 90.5% for the <2000 subgroup, 88.4% for the 2000–20,000 subgroup, and 90.4% for >20,000 subgroup (p = 0.600; Table 2). Similarly, comparable sOS values were observed between LDH-stratified groups after achieving PFS24 (90.4% for <240 U/L subgroup, and 88.2% for ≥240 U/L subgroup, p = 0.600).

Subsequent analyses examined outcomes related to clinical staging (Table 3). In early- to mid-stage disease, PFS24 was achieved in 98.9% of stage I, 92.4% of stage II, and 88.6% of stage III patients. For patients achieving PFS24, sOS at 5 years was 93.0%, 92.3%, and 94.3% for stage I, II, and III patients, respectively, which is similar to the general population matched by age and sex (92.2%, 94.3%, and 94.6%, Figure 2E; Table 3). The SMRs for stage I, II, and III patients achieving PFS24 were 0.5, 0.9, and 0.6, respectively. Conversely, for patients failing PFS24, the 5-year sOS was markedly lower at 50.0%, 31.6%, and 29.7% for stages I, II, and III, respectively (Figure 2F), with corresponding SMR values of 12.5, 15.3, and 18.0.

TABLE 3. SMR and OS after achieving or failure of PFS at selected time points.
3 Years from time point 5 Years from time point
PFS time point No. of patients SMR (95% CI) p value No. at risk Actual 3-year OS (%) Expected 3-year OS (%) No. at risk Actual 5-year OS (%) Expected 5-year OS (%)
Patients achieving PFS24
All stages (I—IVA)
12 months 5710 1.7 (1.6, 1.8) <0.001 2868 92.7 (92.0, 93.5) 97.0 1693 87.8 (86.7, 88.9) 94.5
24 months 5301 1.0 (1.0, 1.1) 0.478 2169 94.1 (93.2, 94.9) 97.1 1111 90.2 (89.0, 91.4) 94.6
36 months 3818 0.8 (0.7, 0.9) <0.001 1626 94.9 (94.0, 95.8) 97.0 795 91.7 (90.4, 93.0) 94.6
Stage I
12 months 187 0.5 (0.2, 1.2) 0.042 95 98.6 (96.7, 100.0) 96.7 57 97.5 (94.7, 100.0) 92.6
24 months 186 0.5 (0.2, 1.2) 0.043 75 97.5 (94.6, 100.0) 96.8 30 93.0 (86.5, 99.9) 92.2
36 months 138 0.4 (0.1, 1.3) 0.006 56 98.9 (96.7, 100.0) 95.6 26 90.9 (82.3, 100.0) 92.9
Stage II
12 months 699 1.2 (1.0, 1.4) 0.275 325 95.0 (93.2, 96.9) 96.9 236 92.6 (90.1, 95.2) 94.3
24 months 668 0.9 (0.7, 1.2) 0.480 267 96.0 (94.0, 97.9) 96.9 193 92.3 (89.2, 95.4) 94.3
36 months 482 0.7 (0.5, 1.0) 0.035 227 97.7 (96.1, 99.3) 97.0 158 93.5 (90.4, 96.7) 93.9
Stage III
12 months 2843 1.0 (0.9, 1.2) 0.736 1446 96.0 (95.2, 96.8) 97.1 858 92.1 (90.8, 93.5) 94.5
24 months 2697 0.6 (0.5, 0.8) <0.001 1129 96.9 (96.0, 97.7) 97.1 558 94.3 (93.0, 95.6) 94.6
36 months 1956 0.5 (0.4, 0.7) <0.001 832 96.2 (95.1, 97.3) 96.9 381 94.7 (93.2, 96.2) 94.6
Stage IVA
12 months 1981 3.2 (3.1, 3.4) <0.001 1033 86.9 (85.2, 88.6) 97.1 559 79.5 (77.2, 81.8) 94.8
24 months 1750 1.9 (1.8, 2.1) <0.001 698 89.0 (87.1, 90.9) 97.2 330 83.3 (80.7, 85.9) 95.1
36 months 1242 1.3 (1.2, 1.5) 0.012 511 91.5 (89.6, 93.4) 95.3 230 86.5 (83.8, 89.4) 95.3
Patients failing PFS24
All stages (I—IV)
12 months 605 32.6 (32.2, 33.1) <0.001 91 24.3 (20.8, 28.4) 97.0 37 15.7 (12.5, 19.7) 95.1
24 months 1014 23.8 (23.5, 24.1) <0.001 179 30.5 (27.5, 33.9) 97.2 68 21.9 (18.9, 25.4) 95.2
36 months 1220 19.9 (19.6, 20.1) <0.001 210 31.4 (28.5, 34.5) 97.1 81 23.3 (20.4, 26.6) 95.0
Stage I
12 months 1 21.7 (14.4, 32.7)
24 months 2 12.5 (7.2, 21.5) 0.527 1 50.0 (12.5, 100.0) 98.6 1 50.0 (12.5, 100.0) 98.6
36 months 4 11.4 (8.2, 15.7) 0.071 1 25.0 (4.6, 100.0) 98.6 1 25.0 (4.6, 100.0) 98.6
Stage II
12 months 24 21.3 (19.3, 23.6) <0.001 3 41.7 (26.0, 66.9) 97.0 2 13.9 (2.6, 73.7) 93.8
24 months 55 15.3 (14.0, 16.6) <0.001 10 47.4 (35.6, 63.1) 97.0 5 31.6 (18.2, 55.0) 94.7
36 months 74 11.4 (10.5, 12.4) <0.001 15 43.6 (32.5, 58.6) 96.2 8 32.8 (21.1, 51.0) 94.3
Stage III
12 months 202 28.1 (27.2, 28.9) <0.001 41 30.7 (24.4, 38.3) 97.3 22 24.6 (18.6, 32.5) 95.6
24 months 348 18.0 (17.5, 18.6) <0.001 77 38.2 (32.9, 44.4) 97.1 33 29.7 (24.2, 36.5) 94.8
36 months 416 15.6 (15.2, 16.1) <0.001 93 41.1 (36.1, 46.9) 97.1 39 32.0 (26.7, 38.4) 94.8
Stage IVA
12 months 378 36.5 (35.9, 37.2) <0.001 47 20.1 (16.0, 25.1) 96.7 13 10.6 (7.2, 15.5) 94.7
24 months 609 29.1 (28.6, 29.6) <0.001 90 24.9 (21.3, 29.1) 97.2 30 17.1 (13.7, 21.3) 95.4
36 months 726 24.4 (24.0, 24.8) <0.001 101 24.8 (21.4, 28.7) 97.1 33 17.6 (14.3, 21.5) 95.3
  • Abbreviations: CI, confidence interval; OS, overall survival; PFS, progression-free survival; SMR, standardized mortality ratio.
  • * p < 0.05.
  • ** p < 0.01.
  • *** p < 0.001.

For advanced stage IVA disease, however, PFS24 was only achieved in 74.2% of the patients. Patients achieving PFS24 had a 5-year sOS rate of 83.3% with an SMR of 1.9, which indicates a significantly worse survival compared with the general population (95.1%; Figure 2G; Table 3). For patients failing to achieve PFS24, the 5-year sOS rate was considerably lower at 17.1% (general population, 95.5%; Figure 2H), with a high SMR of 29.1.

2.4 Loss of Residual Lifetime Analysis and Cumulative Mortality

Throughout the posttreatment phase, NPC patients experienced a reduction in residual lifetime by 1.09 months per year within the initial 10 years, compared to the expected survival for the background population. The detailed LoL outcomes by NPC subgroup are presented in Figure 3 and Table S2. For patients achieving PFS24, the residual lifetime was reduced by 0.01 months/year. In most patients achieving PFS24, the reduction in lifetime was less pronounced and statistically insignificant compared with the background population, even among those with an age ≥48 years, KPS score <80, EBV DNA ≥2000 copies/mL, and an LDH ≥240 U/L (Figure 3). For T4, N3, and stage IVA disease, however, LoL remained significantly high at 0.65, 0.38, and 0.51 months/year, respectively. For patients failing to achieve PFS24, the corresponding LoL estimates were 6.48 months/year (Figure 3).

Details are in the caption following the image
Loss of lifetime in NPC subgroups compared with the general population for all patients, patients achieving PFS24, and patients failing PFS24. AC, adjuvant chemotherapy; AJCC, American Joint Committee on Cancer; CCRT, concurrent chemoradiotherapy; CI, confidence interval; EBV DNA, Epstein–Barr virus DNA; IC, induction chemotherapy; IMRT, intensity-modulated radiation therapy; KPS, Karnofsky Performance Status; LDH, lactate dehydrogenase; LoL, loss of lifetime; NPC, nasopharyngeal carcinoma; PFS24, 24-month progression-free survival following initial treatment.

The 5-year cumulative incidence of mortality in all patients was 17.3%, whereas a reduction to 6.0% was observed in patients who successfully achieved PFS24 (Figure S2A). Similarly, the cumulative incidence of progression at 5 years was 25.1% in all patients with NPC, which decreased to 10.8% in patients achieving PFS24 (Figure S2B). Multivariate analysis for individuals achieving PFS24 revealed that age >48 years, advanced T and N stage, high EBV DNA copies, and treatment without concurrent chemotherapy were related factors for late relapse (Table S3). Additionally, for individuals achieving PFS24, age >48 years, advanced T stage, and treatment without concurrent chemotherapy were strongly correlated with late mortality (Table S4).

2.5 Sensitivity Analysis Comparing PFS24 With Alternative Time Points

In the context of sensitivity analysis, we examined outcomes at the additional time points of PFS12 and PFS36. The squared linear correlation after adjustment for measurement error was strong, with an R2 coefficient of 0.94 between the treatment effect of PFS24 and 5-year OS (Figure 4). The squared linear correlations of PFS12 and PFS36 with 5-year OS were suboptimal, yielding coefficients R2 of 0.92 and 0.88, respectively.

Details are in the caption following the image
Association of PFS at different time points and 5-year OS by generating corresponding rates within distinct subgroups. Squared linear correlations of (A) 12-month progression-free survival (PFS12), (B) 24-month progression-free survival (PFS24), and (C) 36-month progression-free survival (PFS36) with 5-year OS. The squared linear correlation adjusted for measurement error was strong with an R2 coefficient of 0.94 between treatment effects on PFS24 and 5-year OS. OS, overall survival.

For patients achieving PFS24, we observed no significant difference in the actual death rate at PFS24 compared with the expected death rate (SMR 1.0, p = 0.478); however, the actual death rates for patients achieving PFS12 and PFS36 were significantly different compared with those of the background population (SMR: 1.7 at 12 months and 0.7 at 36 months; Table 3). Furthermore, for patients failing to achieve the selected time point, there was minimal difference in 5-year sOS rates at 24 (22.0%) and 36 (23.3%) months, suggesting that there was minimal advantage in extending the timeframe beyond 24 months. Consistent outcomes were noted in patients with early-to-mid-stage disease (Table 3); however, for stage IVA patients, despite achieving PFS12, PFS24, or PFS36, the three- and 5-year sOS remained significantly lower than the expected survival rate in the background population, and the SMR was significantly higher (Table 3).

3 Discussion

Using extensive multicenter data from both endemic and nonendemic regions, the prognostic value of PFS24 for subsequent survival and LoL was assessed in the context of a real-world contemporary treatment paradigm for NPC. Irrespective of stage, PFS24 proved to be an important milestone for subsequent outcomes in NPC. Patients exhibiting no progression within the initial 24 months following treatment experienced significantly superior long-term outcomes compared with those failing to achieve PFS24. Specifically, for stage I–III, patients who achieved PFS24 showed a comparable sOS and LoL compared with a general population matched by age and sex (i.e., these patients were “truly curable”). In this early-to-intermediate setting, PFS24 may be considered a reliable marker for disease cure in daily practice and a surrogate endpoint for clinical trials involving NPC patients. In contrast, for stage IVA patients, the overall outcome remained unsatisfactory, despite achieving PFS24, with sOS and LoL significantly inferior to the background population. These observations suggest that PFS24 is a useful milestone for optimizing posttreatment surveillance and incorporating it into the clinical trial process as a surrogate endpoint.

Multiple pretreatment characteristics have been demonstrated as important prognostic factors and have been integrated into risk stratification and treatment modification models [7-12]. In the present study, most NPC patients stratified by pretreatment factors were initially at high risk or both progression and mortality; however, a markedly attenuated significance of these risk features was observed after achieving PFS24, even in the high-risks with high EBV DNA copies and LDH. These results suggest that pretreatment risk factors gradually lose prognostic significance during dynamic surveillance.

In the present study, PFS24 status was significantly associated with sOS and LoL in the entire population, beyond prognostic categorization at diagnosis, and may be considered a prognostic indicator. Most individuals who achieved PFS24 had life expectancies comparable with the general population, demonstrating an SMR of 1.0 and a LoL of merely 0.01 months/year. Therefore, for patients who have reached PFS24, caregivers may recommend a lower intensity of surveillance to minimize mental stress as well as medical costs for surveillance workups. However, a subgroup analysis revealed that stage IV was an exception. Even with the most advanced treatment modality, the prognosis for stage IVA patients remained poor [13, 14]. This suggests that despite improved sOS and lower LoL in stage IVA patients who reached PFS24, they remained essentially “incurable,” thus justifying more intensive treatment for this substage of patients.

Shorter intervals for tumor progression are typically concomitant with diminished OS rates in various solid malignancies [15-17], including NPC [18, 19]. Consistent with previous studies, for patients unable to attain progression-free status at 24 months, the median OS following relapse was merely 25 months. This highlights the limited success of treatment in patients with early disease deterioration and necessitates more accurate prediction for patients with a potential for early progression, and consequently, more intensive therapy.

Besides the prognostic value of PFS24 on sOS, we also found a robust linear correlation between PFS24 and 5-year OS, with an R2 coefficient of 0.94. For stage I to III patients without disease progression at 24 months, the sOS and LoL were similar to the age- and gender-adjusted normal background population. These results indicate the potential value of PFS24 as an early endpoint in clinical trial design. Knowledge of early efficacy endpoints is imperative to facilitate the rapid incorporation of optimal therapeutic strategies into clinical practice.

Two previous meta-analyses based on data from randomized controlled trials (RCTs) examined the correlation between surrogate endpoints, such as EFS and PFS, with OS [20-22]; however, these two studies provided limited insights into NPC survival, primarily attributable to the frequently restricted follow-up intervals and the high selectivity observed in the enrolled patient cohorts. Compared with these studies, our study has several notable advantages. First, individual data were derived from patients who received therapeutic interventions outside the framework of clinical trials, providing prognosis estimates in real-world settings that can be extrapolated to the general population. Second, the datasets were from various multicenter cohorts, including both endemic and nonendemic patients, with reliable data quality and long follow-up periods. This illustrates the applicability of our findings to both endemic and nonendemic practices. Third, this study used SMR and LoL data matched to the general population, which is suitable for quantifying long-term survival and does not rely on accurate cause-of-death reporting. Collectively, PFS24 is a convincing and effective surrogate for OS, and warrants further assessment of its validity as a study endpoint for prospective settings involving NPC.

There are several limitations to this study. First, its retrospective design introduces potential biases, which is an inherent limitation. Second, the method employed for detecting EBV DNA are prone to considerable variation among laboratories, which could compromise their broader applicability. Third, differences in electronic health record systems, clinician documentation practices, and patient reporting can introduce biases. These considerations necessitate a cautious approach when interpreting our findings and their applicability to other contexts. Consequently, additional validation in varied clinical environments is needed to support the conclusions drawn from this study.

In conclusion, the evaluation of PFS24 enables the stratification of subsequent prognosis in non-metastatic NPC patients. Most patients achieving PFS24 exhibit favorable subsequent survival and minimal LoL, which are comparable to the general population and represent a curable entity. Nevertheless, stage IVA patients still succumb to significant and persistent disease failure despite achieving PFS24. This represents an incurable setting and warrants indefinite surveillance to timely detect recurrence. Not surprisingly, patients with early disease progression have a markedly unfavorable prognosis and require more effective subsequent line therapy. Our findings suggest that PFS24 is a robust metric for recommending a surveillance strategy and a promising surrogate endpoint for clinical trial design in NPC.

4 Materials and Methods

4.1 Study Design

In the present study, 6782 patients with non-metastatic NPC were retrospectively reviewed from the period spanning January 2007 to December 2020. The inclusion criteria encompassed patients treated with IMRT and those with complete baseline characteristics. To ensure analysis reliability, patients without progression but with follow-up periods of less than 24 months were excluded. Ultimately, the final cohort consisted of 6315 patients with non-metastatic NPC from four distinct regions of China. Clinical and demographic information were systematically collected. The study protocol was reviewed and approved by the Medical Research Ethics Committee of the National Cancer Center, Chinese Academy of Medical Sciences (Approval No. 23/353-4095). Given the retrospective nature of the study, which involved the use of anonymized data, the Committee waived the requirement for informed consent from individual participants. All procedures adhered to ethical standards as outlined in the Declaration of Helsinki, and the confidentiality and privacy of all patients were strictly maintained throughout the study.

4.2 Treatment and Follow-up

Each eligible patient received curative IMRT, with doses of 2.0–2.27 Gy per fraction, administered 5 days per week over a treatment duration of 6–7 weeks. The treatment targeted primary tumors and metastatic lymph nodes with doses exceeding 66 Gy, while regions prone to infiltration were given a minimum of 50 Gy. The chemotherapy regimen—including induction, concurrent, and adjuvant phases—was selected at the discretion of the treating clinician, with platinum-based agents being the most commonly used.

Systematic evaluations were conducted every 3 months during the initial 2 years, transitioning to semi-annual evaluations for the following 3–5 years, and subsequently transitioning to annual examinations.

4.3 Statistical Analysis

Categorical variables were described using frequencies and percentages, and continuous variables were summarized as medians with ranges. Continuous variables were classified using widely accepted cutoff points. Prior research has established that EBV DNA load cutoffs of 2000 and 20,000 copies/mL possess significant prognostic implications [8, 23]. Kaplan–Meier analysis was used to generate survival estimates. The annual hazard rates delineated the temporal trajectories of progression and morality, whereas the Epanechnikov kernel was used for smoothing. Statistical significance was defined as a two-sided p value of 0.05. Data analyses were conducted utilizing SPSS (version 26.0, IBM) and R software (version 4.2.0; http://www.r-project.org/).

OS represented the time interval from the initiation of treatment to death or last follow-up. PFS was defined as the time interval from the initiation of treatment to distant metastasis, local-regional recurrence, or death from any cause. PFS24 was defined as the status of survival without progression 24 months after initial treatment. The sOS is defined as survival from the 24-month point or progression within 24 months leading to mortality. A general population was derived from Chinese life tables and matched with the study cohort by age, gender, and calendar year using a conditional approach. LoL represented the reduction in life expectancy due to NPC, compared to the general population, such as cancer. The 10-year LoL was determined by calculating the area under the survival curves between NPC patients and the general population from treatment initiation to a 10-year follow-up period. The SMR was defined as the ratio of observed mortality to expected mortality. Expected survival was estimated using a conditional method, with the “survexp” function in R software.

For the sensitivity analysis, we investigated the relationship between the distributions of multipoint PFS rates and 5-year OS rates through linear regression analysis conducted in R software. This analysis was performed on subgroups defined by predefined, widely recognized prognostic factors. We assessed the correlation between PFS rates at additional landmark time points—namely at 12, 24, and 36 months—and the 5-year OS rates. The squared linear correlation coefficient (R2) was calculated to evaluate the association between PFS rates at various time points and 5-year OS, producing corresponding values for each subgroup. An R2 value approaching 1 indicated a stronger correlation. Based on prior studies, R2 values were categorized as excellent (R2 > 0.9), very good (R2 > 0.75), good (R2 > 0.5), moderate (R2 > 0.25), and poor otherwise.

Author Contributions

Yang Liu: conceptualization, methodology, formal analysis, investigation, writing –original draft, visualization. Yaqian Han: data curation, investigation. Mei Feng: data curation, investigation. Ye Zhang: data curation, investigation. Kai Wang: data curation, investigation. Yuan Qu: data curation, investigation. Xuesong Chen: data curation, investigation. Jianghu Zhang: data curation, investigation. Jingwei Luo: data curation, investigation. Runye Wu: data curation, investigation. Ye-Xiong Li: data curation, investigation. Xiaodong Huang: data curation, investigation. Qiuyan Chen: data curation, investigation. Jingbo Wang: funding acquisition, conceptualization, methodology, formal analysis, investigation, writing – original draft, visualization. Junlin Yi: funding acquisition, project administration, resources, writing – review and editing, conceptualization. All authors have read and approved the final manuscript.

Acknowledgments

We thank all the patients and their families for their support. This work was presented in part as a poster at the 2024 American Society for Radiation Oncology (ASTRO) Annual Meeting, American, Washington, October 2, 2024. This work was supported by the National Natural Science Foundation of China (81172125), National Key Research and Development Program of China (2023YFC2411602), National High Level Hospital Clinical Research Funding (2022-CICAMS-80102022203), Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M-C&T-A-018), Beijing Xisike Clinical Oncology Research Foundation (Y-HR2020QN-0984) and the Beijing Hope Run Fund (LC2021L06 and LC2022A26).

    Ethics Statement

    The study protocol was reviewed and approved by the Medical Research Ethics Committee of the National Cancer Center, Chinese Academy of Medical Sciences (Approval No. 23/353-4095). Given the retrospective nature of the study, which involved the use of anonymized data, the Committee waived the requirement for informed consent from individual participants. All procedures adhered to ethical standards as outlined in the Declaration of Helsinki, and the confidentiality and privacy of all patients were strictly maintained throughout the study.

    Conflicts of Interest

    The authors declare no conflicts of interest.

    Data Availability Statement

    The datasets used or analyzed in this study are available upon request from the corresponding author.

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