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Prognostic value of quantitative cervical nodal necrosis burden on MRI in nasopharyngeal carcinoma and its role as a stratification marker for induction chemotherapy

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Abstract

Objectives

This study aimed to assess the prognostic value of quantitative cervical nodal necrosis (CNN) burden in N staging risk stratification in patients with nasopharyngeal carcinoma.

Methods

Univariate and multivariate Cox regression models evaluated the association between lymph node variables based on MRI images and survival. Revisions for the N classification system were proposed and compared to the 8th edition AJCC staging system using Harrell’s concordance index (C-index). The survival outcomes of induction chemotherapy plus concurrent chemoradiotherapy (CCRT) and CCRT alone in patients with multiple CNNs were compared.

Results

In 1319 patients enrolled, CNN was not an independent prognostic factor for the main survival outcomes, but multiple CNNs (three or more necrotic nodes) were independent prognostic factors for distant metastasis-free survival (DMFS) (adjusted hazard ratio [HR], 2.05; p = 0.020) and progression-free survival (PFS) (HR, 1.78; p = 0.004), surpassing other nodal variables. On upgrading patients with multiple CNNs to revised N3 disease, the proposed N staging widened the differences in DMFS and PFS between N2 and N3 disease. The overall survival of patients with multiple CNNs who received CCRT plus induction chemotherapy was improved compared to that of those who received CCRT alone (76.1% vs. 55.7%; adjusted p = 0.030).

Conclusions

Upgrading patients with multiple CNNs to stage N3 may improve prognostication of the current AJCC staging system. Multiple CNNs might be a potential marker for stratifying patients who would benefit from induction chemotherapy.

Key Points

Quantitatively assessed the prognostic value of CNN burden in patients with NPC.

Upgrading patients with multiple CNNs to stage N3 may improve prognostication.

Multiple CNNs may be used as a stratification marker for induction chemotherapy.

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Abbreviations

AJCC:

American Joint Committee on Cancer

CCRT:

Concurrent chemoradiotherapy

CNN:

Cervical nodal necrosis

DMFS:

Distant metastasis-free survival

EBV:

Epstein-Barr virus

ENS:

Extranodal neoplastic spread

LN:

Lymph node

NPC:

Nasopharyngeal carcinoma

PFS:

Progression-free survival

RFS:

Recurrence-free survival

References

  1. Edge SBBR, Jessup JM et al (2017) American Joint Committee on Cancer Cancer staging manual

  2. Pan JJ, Ng WT, Zong JF et al (2016) Proposal for the 8th edition of the AJCC/UICC staging system for nasopharyngeal cancer in the era of intensity-modulated radiotherapy. Cancer 122:546–558

    Article  Google Scholar 

  3. Mao YP, Liang SB, Liu LZ et al (2008) The N staging system in nasopharyngeal carcinoma with radiation therapy oncology group guidelines for lymph node levels based on magnetic resonance imaging. Clin Cancer Res 14:7497–7503

    Article  CAS  Google Scholar 

  4. Liu Y, Chen S, Dong A et al (2020) Nodal grouping in nasopharyngeal carcinoma: prognostic significance, N classification, and a marker for the identification of candidates for induction chemotherapy. Eur Radiol 30:2115–2124

    Article  Google Scholar 

  5. Ma H, Qiu Y, Li H et al (2021) Prognostic value of nodal matting on MRI in nasopharyngeal carcinoma patients. J Magn Reson Imaging JMRI 53:152–164

    Article  Google Scholar 

  6. Yin X, Lv L, Pan XB (2020) Prognosis of extracapsular spread of cervical lymph node metastases in nasopharyngeal carcinoma. Front Oncol 10:1–8

    Article  Google Scholar 

  7. Ma H, Liang S, Cui C et al (2020) Prognostic significance of quantitative metastatic lymph node burden on magnetic resonance imaging in nasopharyngeal carcinoma: a retrospective study of 1224 patients from two centers. Radiother Oncol 151:40–46

    Article  Google Scholar 

  8. Lan M, Huang Y, Chen C-Y et al (2015) Prognostic value of cervical nodal necrosis in nasopharyngeal carcinoma: analysis of 1800 patients with positive cervical nodal metastasis at MR imaging. Radiology 276:536–544

    Article  Google Scholar 

  9. Chong VF, Fan YF, Khoo JB (1996) MRI features of cervical nodal necrosis in metastatic disease. Clin Radiol 51:103–109

    Article  CAS  Google Scholar 

  10. King AD, Tse GMK, Ahuja AT et al (2004) Necrosis in metastatic neck nodes: diagnostic accuracy of CT, MR imaging, and US. Radiology 230:720–726

    Article  Google Scholar 

  11. Amin MBES, Greene FL et al (2016) AJCC cancer staging manual, 8th edn. Springer, New York

    Google Scholar 

  12. Tang LL, Chen YP, Mao YP et al (2017) Validation of the 8th edition of the UICC/AJCC staging system for nasopharyngeal carcinoma from endemic areas in the intensity-modulated radiotherapy era. J Natl Compr Canc Netw 15:913–919

    Article  Google Scholar 

  13. Liang SB, Chen LS, Yang XL et al (2021) Influence of tumor necrosis on treatment sensitivity and long-term survival in nasopharyngeal carcinoma. Radiother Oncol 155:219–225

    Article  CAS  Google Scholar 

  14. Tang LQ, Li CF, Li J et al (2016) Establishment and validation of prognostic nomograms for endemic nasopharyngeal carcinoma. J Natl Cancer Inst 108

  15. Liu K, Lin S, Ke L et al (2020) Prognostic value and the potential role of treatment options for cervical lymph node necrosis in nasopharyngeal carcinoma. Oral Oncol 109:104864–104864

    Article  Google Scholar 

  16. Liu LZ, Zhang GY, Xie CM, Liu XW, Cui CY, Li L (2006) Magnetic resonance imaging of retropharyngeal lymph node metastasis in nasopharyngeal carcinoma: patterns of spread. Int J Radiat Oncol Biol Phys 66:721–730

    Article  Google Scholar 

  17. Zhang LL, Li JX, Zhou GQ et al (2017) Influence of cervical node necrosis of different grades on the prognosis of nasopharyngeal carcinoma patients treated with intensity-modulated radiotherapy. J Cancer 8:959–966

    Article  CAS  Google Scholar 

  18. Xie C, Li H, Yan Y et al (2020) A nomogram for predicting distant metastasis using nodal-related features among patients with nasopharyngeal carcinoma. Front Oncol 10:1–9

    Article  CAS  Google Scholar 

  19. Zhang LL, Zhou GQ, Li YY et al (2017) Combined prognostic value of pretreatment anemia and cervical node necrosis in patients with nasopharyngeal carcinoma receiving intensity-modulated radiotherapy: a large-scale retrospective study. Cancer Med 6:2822–2831

    Article  CAS  Google Scholar 

  20. Huang L, Zhang Y, Liu Y et al (2019) Prognostic value of retropharyngeal lymph node metastasis laterality in nasopharyngeal carcinoma and a proposed modification to the UICC/AJCC N staging system. Radiother Oncol 140:90–97

    Article  Google Scholar 

  21. Li WF, Sun Y, Mao YP et al (2013) Proposed lymph node staging system using the international consensus guidelines for lymph node levels is predictive for nasopharyngeal carcinoma patients from endemic areas treated with intensity modulated radiation therapy. Int J Radiat Oncol Biol Phys 86:249–256

    Article  Google Scholar 

  22. Wan Y, Tian L, Zhang G et al (2019) The value of detailed MR imaging report of primary tumor and lymph nodes on prognostic nomograms for nasopharyngeal carcinoma after intensity-modulated radiotherapy. Radiother Oncol 131:35–44

    Article  Google Scholar 

  23. Don DM, Anzai Y, Lufkin RB, Fu YS, Calcaterra TC (1995) Evaluation of cervical lymph node metastases in squamous cell carcinoma of the head and neck. Laryngoscope 105:669–674

    Article  CAS  Google Scholar 

  24. Som PM (1987) Lymph nodes of the neck. Radiology 165:593–600

    Article  CAS  Google Scholar 

  25. Zhou X, Ou X, Yang Y et al (2018) Quantitative metastatic lymph node regions on magnetic resonance imaging are superior to AJCC N classification for the prognosis of nasopharyngeal carcinoma. J Oncol 2018

  26. Yang X-L, Wang Y, Liang S-B et al (2018) Comparison of the seventh and eighth editions of the UICC/AJCC staging system for nasopharyngeal carcinoma: analysis of 1317 patients treated with intensity-modulated radiotherapy at two centers. BMC Cancer 18

  27. Zhang Y, Chen L, Hu GQ et al (2019) Gemcitabine and cisplatin induction chemotherapy in nasopharyngeal carcinoma. N Engl J Med 381:1124–1135

    Article  CAS  Google Scholar 

  28. Du XJ, Tang LL, Chen L et al (2015) Neoadjuvant chemotherapy in locally advanced nasopharyngeal carcinoma: defining high-risk patients who may benefit before concurrent chemotherapy combined with intensity-modulated radiotherapy. Sci Rep 5:16664

    Article  Google Scholar 

  29. Xu C, Sun R, Tang LL et al (2018) Role of sequential chemoradiotherapy in stage II and low-risk stage III-IV nasopharyngeal carcinoma in the era of intensity-modulated radiotherapy: a propensity score-matched analysis. Oral Oncol 78:37–45

    Article  Google Scholar 

  30. Sun Y, Li WF, Chen NY 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

    Article  CAS  Google Scholar 

  31. He M, Wu H, Jiang Q et al (2019) Hypoxia-inducible factor-2α directly promotes BCRP expression and mediates the resistance of ovarian cancer stem cells to adriamycin. Mol Oncol 13:403–421

    Article  CAS  Google Scholar 

  32. Dong L, You S, Zhang Q et al (2019) Arylsulfonamide 64B inhibits hypoxia/HIF-induced expression of c-Met and CXCR4 and reduces primary tumor growth and metastasis of uveal melanoma. Clin Cancer Res 25:2206–2218

    Article  CAS  Google Scholar 

  33. Lambin P, Rios-Velazquez E, Leijenaar R et al (2012) Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 48:441–446

    Article  Google Scholar 

  34. Aerts HJ, Velazquez ER, Leijenaar RT et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006

    Article  CAS  Google Scholar 

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Acknowledgements

We would like to thank Editage (www.editage.com) for their writing support.

Funding

This work was supported by the Key-Area Research and Development of Guangdong Province (2020B1111190001); Science and Technology Planning Project of Guangzhou City, China [Grant No. 201907010043].

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Authors and Affiliations

Authors

Corresponding authors

Correspondence to Yue Yan or Chunyan Cui.

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Guarantor

The scientific guarantor of this publication is Lizhi Liu.

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

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Study subjects or cohorts overlap

Some study subjects or cohorts have been previously reported in Radiotherapy and Oncology and European Radiology.

Methodology

• retrospective

• diagnostic or prognostic study

• performed at one institution

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Li, J., Zhao, Q., Zhang, Y. et al. Prognostic value of quantitative cervical nodal necrosis burden on MRI in nasopharyngeal carcinoma and its role as a stratification marker for induction chemotherapy. Eur Radiol 32, 7710–7721 (2022). https://doi.org/10.1007/s00330-022-08785-5

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  • DOI: https://doi.org/10.1007/s00330-022-08785-5

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