Abstract
Objectives
This study focused on developing and validating a nomogram to predict the overall survival (OS) of patients with nasopharyngeal carcinoma (NPC) without distant metastasis based on their clinical characteristics, serum biomarkers, and presence of nasopharyngeal (NP) necrosis.
Methods
This study included 9298 patients with NPC. Patients from January 2009 to December 2014 were randomly categorized into the training cohort and validation cohort A. Validation cohort B, whose data were collected from January 2015 to December 2017, was also included. OS was the primary endpoint of this study. Cox regression analysis was used to detect independent risk variables. Decision curve analysis, calibration curve, time-dependent receiver operating characteristic (ROC) curve, and concordance index (C-index) were used to evaluate the performance of the nomogram model.
Results
A total of 267 patients developed NP necrosis after the first routine radiotherapy. After radiotherapy, patients with NP necrosis had significantly lower OS than other patients in all three cohorts (p < 0.001). Eleven factors, including NP necrosis, were involved in the nomogram, which had favorable discrimination and calibration with a C-index of 0.768 in the training cohort, 0.749 in validation cohort A, and 0.739 in validation cohort B. The nomogram exhibited a significantly larger area under the ROC curve for predicting OS than the TNM stage and Epstein-Barr virus (EBV) DNA (p < 0.001).
Conclusion
Compared with the TNM system and EBV DNA, we established a nomogram model with an accurate prognostic prediction for patients with NPC, which might help with patient management in NPC.
Key Points
• This study included 9298 patients with NPC, and 11 factors were involved in the final model.
• The nomogram had a significantly higher C-index and area under the ROC curve than the TNM stage and EBV DNA.
• We established the first nomogram model for NPC involving the occurrence of NP necrosis, which was valuable for providing individual counseling and clinical assessments.
Similar content being viewed by others
Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Abbreviations
- AC:
-
Adjuvant chemotherapy
- AJCC/UICC:
-
American Joint Committee on Cancer/International Union Against Cancer
- C-index:
-
Concordance index
- CI:
-
Confidence interval
- CRP:
-
C-reactive protein
- CT:
-
Computed tomography
- EBV:
-
Epstein-Barr virus
- HGB:
-
Hemoglobin
- IC:
-
Induction chemotherapy
- IMRT:
-
Intensity-modulated radiation therapy
- LDH:
-
Lactate dehydrogenase
- MRI:
-
Magnetic resonance imaging
- NP:
-
Nasopharyngeal
- NPC:
-
Nasopharyngeal carcinoma
- OS:
-
Overall survival
- PET-CT:
-
Positron emission tomography-computed tomography
- qPCR:
-
Quantitative polymerase chain reaction
- ROC:
-
Receiver operating characteristic
- RT:
-
Radiotherapy
References
Wei WI, Sham JS (2005) Nasopharyngeal carcinoma. Lancet 365:2041–2054
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394–424
Chen YP, Chan ATC, Le QT, Blanchard P, Sun Y, Ma J (2019) Nasopharyngeal carcinoma. Lancet 394:64–80
Zhang M, Li J, Shen G et al (2015) 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 51:2587–2595
Sun XS, Liu SL, Luo MJ et al (2019) The association between the development of radiation therapy, image technology, and chemotherapy, and the survival of patients with nasopharyngeal carcinoma: a cohort study from 1990 to 2012. Int J Radiat Oncol Biol Phys 105:581–590
Sun Y, Li W, Chen N et al (2016) Induction chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma: a phase 3, multicentre, randomised controlled trial. Lancet Oncol 17:1509–1520
Zhang Y, Chen L, Hu GQ et al (2019) Gemcitabine and cisplatin induction chemotherapy in nasopharyngeal carcinoma. N Engl J Med 381:1124–1135
Chang K, Tsang N, Chen C, Su J, Hao S (2000) Endoscopic management of skull base osteoradionecrosis. Laryngoscope 110:1162–1165
Huang X, Zheng Y, Zhang X et al (2006) Diagnosis and management of skull base osteoradionecrosis after radiotherapy for nasopharyngeal carcinoma. Laryngoscope 116:1626–1631
Yu YH, Xia WX, Shi JL et al (2016) A model to predict the risk of lethal nasopharyngeal necrosis after re-irradiation with intensity-modulated radiotherapy in nasopharyngeal carcinoma patients. Chin J Cancer 35:59
Chen MY, Mai HQ, Sun R et al (2013) Clinical findings and imaging features of 67 nasopharyngeal carcinoma patients with postradiation nasopharyngeal necrosis. Chin J Cancer 32:533–538
Hua YJ, Chen MY, Qian CN et al (2009) Postradiation nasopharyngeal necrosis in the patients with nasopharyngeal carcinoma. Head Neck 31:807–812
Tang LQ, Li CF, Li J et al (2016) Establishment and validation of prognostic nomograms for endemic nasopharyngeal carcinoma. J Natl Cancer Inst 108(1):djv291
Fei Z, Qiu X, Li M, Chen C, Li Y, Huang Y (2020) Prognosis viewing for nasopharyngeal carcinoma treated with intensity-modulated radiation therapy: application of nomogram and decision curve analysis. Jpn J Clin Oncol 50:159–168
Chen X, Cao X, Jing B et al (2020) Prognostic and treatment guiding significance of MRI-based tumor burden features and nodal necrosis in nasopharyngeal carcinoma. Front Oncol 10:537318
Li J, Chen S, Peng S et al (2018) Prognostic nomogram for patients with nasopharyngeal carcinoma incorporating hematological biomarkers and clinical characteristics. Int J Biol Sci 14:549–556
Qiang M, Li C, Sun Y et al (2021) A prognostic predictive system based on deep learning for locoregionally advanced nasopharyngeal carcinoma. J Natl Cancer Inst 113:606–615
Tang LQ, Li CF, Chen QY et al (2015) High-sensitivity C-reactive protein complements plasma Epstein-Barr virus deoxyribonucleic acid prognostication in nasopharyngeal carcinoma: a large-scale retrospective and prospective cohort study. Int J Radiat Oncol Biol Phys 91:325–336
Feghali J, Yang W, Xu R et al (2019) R(2)eD AVM score. Stroke 50:1703–1710
Chen C, Shen LJ, Li BF, Gao J, Xia YF (2014) Smoking is a poor prognostic factor for male nasopharyngeal carcinoma treated with radiotherapy. Radiother Oncol 110:409–415
Sun XS, Xiao BB, Lu ZJ et al (2020) Stratification of candidates for induction chemotherapy in stage III-IV nasopharyngeal carcinoma: a large cohort study based on a comprehensive prognostic model. Front Oncol 10:255
Ouyang PY, Su Z, Mao YP, Liang XX, Liu Q, Xie FY (2013) Prognostic impact of family history in southern Chinese patients with undifferentiated nasopharyngeal carcinoma. Br J Cancer 109:788–794
Guo SS, Tang LQ, Chen QY et al (2015) Is hemoglobin level in patients with nasopharyngeal carcinoma still a significant prognostic factor in the era of intensity-modulated radiotherapy technology? PLoS One 10:e0136033
Chan AT, Lo YM, Zee B et al (2002) Plasma Epstein-Barr virus DNA and residual disease after radiotherapy for undifferentiated nasopharyngeal carcinoma. J Natl Cancer Inst 94:1614–1619
Al-Sarraf M, LeBlanc M, Giri PG et al (1998) Chemoradiotherapy versus radiotherapy in patients with advanced nasopharyngeal cancer: phase III randomized Intergroup study 0099. J Clin Oncol 16:1310–1317
Lee AW, Lau WH, Tung SY et al (2005) Preliminary results of a randomized study on therapeutic gain by concurrent chemotherapy for regionally-advanced nasopharyngeal carcinoma: NPC-9901 Trial by the Hong Kong Nasopharyngeal Cancer Study Group. J Clin Oncol 23:6966–6975
Shao JY, Li YH, Gao HY et al (2004) Comparison of plasma Epstein-Barr virus (EBV) DNA levels and serum EBV immunoglobulin A/virus capsid antigen antibody titers in patients with nasopharyngeal carcinoma. Cancer 100:1162–1170
Yang Q, Zou X, You R et al (2017) Proposal for a new risk classification system for nasopharyngeal carcinoma patients with post-radiation nasopharyngeal necrosis. Oral Oncol 67:83–88
Lee AW, Lau KY, Hung WM et al (2008) Potential improvement of tumor control probability by induction chemotherapy for advanced nasopharyngeal carcinoma. Radiother Oncol 87:204–210
Lin S, Lu JJ, Han L, Chen Q, Pan J (2010) Sequential chemotherapy and intensity-modulated radiation therapy in the management of locoregionally advanced nasopharyngeal carcinoma: experience of 370 consecutive cases. BMC Cancer 10:39
Yu Z, Luo W, Zhou QC, Zhang QH, Kang DH, Liu MZ (2009) Impact of changing gross tumor volume delineation of intensity-modulated radiotherapy on the dose distribution and clinical treatment outcome after induction chemotherapy for the primary locoregionally advanced nasopharyngeal carcinoma. Ai Zheng 28:1132–1137
Liu SL, Sun XS, Lu ZJ et al (2020) Nomogram predicting the benefits of adding concurrent chemotherapy to intensity-modulated radiotherapy after induction chemotherapy in stages II-IVb nasopharyngeal carcinoma. Front Oncol 10:539321
Tang XR, Li YQ, Liang SB et al (2018) Development and validation of a gene expression-based signature to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma: a retrospective, multicentre, cohort study. Lancet Oncol 19:382–393
Clocchiatti A, Cora E, Zhang Y, Dotto GP (2016) Sexual dimorphism in cancer. Nat Rev Cancer 16:330–339
Wen YF, Sun XS, Yuan L et al (2019) The impact of Adult Comorbidity Evaluation-27 on the clinical outcome of elderly nasopharyngeal carcinoma patients treated with chemoradiotherapy or radiotherapy: a matched cohort analysis. J Cancer 10:5614–5621
Bøje CR, Dalton SO, Grønborg TK et al (2013) The impact of comorbidity on outcome in 12 623 Danish head and neck cancer patients: a population based study from the DAHANCA database. Acta Oncol 52:285–293
Huang XD, Zhou GQ, Lv JW et al (2018) Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis. Radiother Oncol 129:389–395
Lin JC, Wang WY, Chen KY et al (2004) Quantification of plasma Epstein-Barr virus DNA in patients with advanced nasopharyngeal carcinoma. N Engl J Med 350:2461–2470
Wu J, Zhou Q, Pan Z et al (2020) Development and validation of a nomogram for predicting long-term overall survival in nasopharyngeal carcinoma: a population-based study. Medicine (Baltimore) 99:e18974
Sun XS, Xiao BB, Lin C et al (2020) Establishment and validation of two nomograms to predict the benefit of concurrent chemotherapy in stage II-IVa nasopharyngeal carcinoma patients with different risk factors: analysis based on a large cohort. Cancer Med 9:1661–1670
Li XY, Sun XS, Liu SL et al (2019) The development of a nomogram to predict post-radiation necrosis in nasopharyngeal carcinoma patients: a large-scale cohort study. Cancer Manag Res 11:6253–6263
Hu JJ, Urbanic JJ, Case LD et al (2018) Association between inflammatory biomarker C-reactive protein and radiotherapy-induced early adverse skin reactions in a multiracial/ethnic breast cancer population. J Clin Oncol 36:2473–2482
Mohammed FF, Poon I, Zhang L et al (2012) Acute-phase response reactants as objective biomarkers of radiation-induced mucositis in head and neck cancer. Head Neck 34:985–993
Acknowledgements
We thank all of the patients who participated in this study.
Funding
This study was funded by grants from the National Key R&D Program of China (2017YFC0908500, 2017YFC1309003), the National Natural Science Foundation of China (No. 81425018, No. 81672868, No. 81802775, No. 82073003, No. 82002852, No. 82003267), the Sci-Tech Project Foundation of Guangzhou City (201707020039), the Sun Yat-sen University Clinical Research 5010 Program (No. 2019023), the Special Support Plan of Guangdong Province (No. 2014TX01R145), the Natural Science Foundation of Guangdong Province (No. 2017A030312003, No. 2018A0303131004), the Natural Science Foundation of Guangdong Province for Distinguished Young Scholar (No. 2018B030306001), the Sci-Tech Project Foundation of Guangdong Province (No. 2014A020212103), the Health & Medical Collaborative Innovation Project of Guangzhou City (No. 201400000001, No. 201803040003), Pearl River S&T Nova Program of Guangzhou (No. 201806010135), the Planned Science and Technology Project of Guangdong Province (2019B020230002), the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period (No. 2014BAI09B10), Natural Science Foundation of Guangdong Province (2017A030312003),and the Fundamental Research Funds for the Central Universities.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Guarantor
The scientific guarantor of this publication is Hai-Qiang Mai.
Conflict of interest
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Statistics and biometry
Xue-Song Sun and Sai-Lan Liu kindly provided statistical advice for this manuscript. No complex statistical methods were necessary for this paper.
Informed consent
Written informed consent was obtained from all patients in this study.
Ethical approval
Institutional Review Board approval was obtained.
Methodology
• retrospective
• diagnostic or prognostic study
• performed at one institution
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Sun, XS., Xiao, ZW., Liu, SL. et al. Nasopharyngeal necrosis contributes to overall survival in nasopharyngeal carcinoma without distant metastasis: a comprehensive nomogram model. Eur Radiol 33, 3682–3692 (2023). https://doi.org/10.1007/s00330-023-09431-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-023-09431-4