Skip to main content
Log in

Development and validation of a nomogram for predicting survival in intermediate- and high-risk neuroblastoma of the Children's Oncology Group risk stratification

  • Research
  • Published:
Journal of Cancer Research and Clinical Oncology Aims and scope Submit manuscript

Abstract

Purpose

To develop and validate a nomogram for predicting survival in intermediate- and high-risk neuroblastoma patients and to compare the accuracy of the nomogram in predicting survival with Children's Oncology Group (COG) risk stratification.

Methods

A total of 885 intermediate- and high-risk neuroblastoma patients were enrolled in this study, including 243 patients from our hospital (the training set) and 642 patients from the TARGET database (the validation set). The factors related to event-free survival (EFS) and overall survival (OS) in neuroblastoma were determined to construct the nomogram by Cox regression analysis. The C-index, calibration curves, and area under the time-dependent receiver operating characteristic curves (AUCs) were used to assess the predictive performance of the nomogram.

Results

International Neuroblastoma Staging System stage and Mitosis-karyorrhexis index (MKI) were significant unfavorable factors for EFS, while MKI and MYCN status were significant unfavorable factors for OS. The C-index of the nomogram was 0.621 and 0.586 for predicting EFS, 0.650 and 0.570 for predicting OS in the training and validation sets, respectively. The calibration curves revealed good agreement in the EFS and OS predicted by the nomogram. The AUCs of the nomogram for 1-, 2-, 3-year EFS and OS were 0.633, 0.669, 0.604 and 0.672, 0.670, 0.702 in the training set, respectively. Moreover, the nomogram was able to classify patients into two groups according to risk scores, with the “high-risk” group having a lower survival rate than the “intermediate-risk” group. And the nomogram performed better than the COG risk stratification, which had a C-index of 0.537, 0.502 and 0.565, 0.572 for predicting EFS, OS in the training and validation sets, respectively.

Conclusion

We developed and validated a prognostic nomogram for intermediate- and high-risk neuroblastoma patients that clinicians can use to make more informed decisions for individual patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

The datasets generated during and analysed during the current study are available from the corresponding author on reasonable request.

References

  • Atikankul T, Atikankul Y, Santisukwongchote S, Marrano P, Shuangshoti S, Thorner PS (2015) MIB-1 Index as a Surrogate for Mitosis-Karyorrhexis Index in Neuroblastoma. Am J Surg Pathol 39(8):1054–1060

    Article  PubMed  Google Scholar 

  • Bagatell R, Beck-Popovic M, London WB, Zhang Y, Pearson AD, Matthay KK et al (2009) Significance of MYCN amplification in international neuroblastoma staging system stage 1 and 2 neuroblastoma: a report from the International Neuroblastoma Risk Group database. J Clin Oncol 27(3):365–370

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Cagnin S, Knedlik T, Vianello C, Magalhães Rebelo AP, De Mario A, Giacomello M (2023) Comparison among neuroblastoma stages suggests the involvement of mitochondria in tumor progression. Biomedicines 11(2):596

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Campbell K, Naranjo A, Hibbitts E, Gastier-Foster JM, Bagatell R, Irwin MS et al (2020) Association of heterogeneous MYCN amplification with clinical features, biological characteristics and outcomes in neuroblastoma: a report from the Children’s Oncology Group. Eur J Cancer 133:112–119

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Chung C, Boterberg T, Lucas J, Panoff J, Valteau-Couanet D, Hero B et al (2021) Neuroblastoma. Pediatr Blood Cancer 68 Suppl 2(Suppl 2):e28473

    Article  PubMed  Google Scholar 

  • Corallo D, Candiani S, Ori M, Aveic S, Tonini GP (2016) The zebrafish as a model for studying neuroblastoma. Cancer Cell Int 16:82

    Article  PubMed  PubMed Central  Google Scholar 

  • Davidoff AM (2012) Neuroblastoma. Semin Pediatr Surg 21(1):2–14

    Article  PubMed  PubMed Central  Google Scholar 

  • Esposito MR, Aveic S, Seydel A, Tonini GP (2017) Neuroblastoma treatment in the post-genomic era. J Biomed Sci 24(1):14

    Article  PubMed  PubMed Central  Google Scholar 

  • Irwin MS, Naranjo A, Zhang FF, Cohn SL, London WB, Gastier-Foster JM et al (2021) Revised neuroblastoma risk classification system: a report from the Children’s Oncology Group. J Clin Oncol 39(29):3229–3241

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Kholodenko IV, Kalinovsky DV, Doronin II, Deyev SM, Kholodenko RV (2018) Neuroblastoma origin and therapeutic targets for immunotherapy. J Immunol Res 2018:7394268

    Article  PubMed  PubMed Central  Google Scholar 

  • London WB, Castleberry RP, Matthay KK, Look AT, Seeger RC, Shimada H et al (2005) Evidence for an age cutoff greater than 365 days for neuroblastoma risk group stratification in the Children’s Oncology Group. J Clin Oncol 23(27):6459–6465

    Article  CAS  PubMed  Google Scholar 

  • Lu YJ, Duan WM (2021) Establishment and validation of a novel predictive model to quantify the risk of bone metastasis in patients with prostate cancer. Transl Androl Urol 10(1):310–325

    Article  PubMed  PubMed Central  Google Scholar 

  • Maris JM (2010) Recent advances in neuroblastoma. N Engl J Med 362(23):2202–2211

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Matthay KK, Maris JM, Schleiermacher G, Nakagawara A, Mackall CL, Diller L et al (2016) Neuroblastoma. Nat Rev Dis Primers 2:16078

    Article  PubMed  Google Scholar 

  • Mei H, Lin ZY, Tong QS (2016) Risk stratification and therapeutics of neuroblastoma: the challenges remain. World J Pediatr 12(1):5–7

    Article  PubMed  Google Scholar 

  • Monclair T, Brodeur GM, Ambros PF, Brisse HJ, Cecchetto G, Holmes K et al (2009) The International Neuroblastoma Risk Group (INRG) staging system: an INRG Task Force report. J Clin Oncol 27(2):298–303

    Article  PubMed  PubMed Central  Google Scholar 

  • Pinto NR, Applebaum MA, Volchenboum SL, Matthay KK, London WB, Ambros PF et al (2015) Advances in risk classification and treatment strategies for neuroblastoma. J Clin Oncol 33(27):3008–3017

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sun Q, Chen Y, Jin Q, Yuan X (2022) A nomogram for predicting recurrence-free survival of intermediate and high-risk neuroblastoma. Eur J Pediatr 181(12):4135–4147

    Article  CAS  PubMed  Google Scholar 

  • Teshiba R, Kawano S, Wang LL, He L, Naranjo A, London WB et al (2014) Age-dependent prognostic effect by Mitosis-Karyorrhexis Index in neuroblastoma: a report from the Children’s Oncology Group. Pediatr Dev Pathol 17(6):441–449

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhang J, Zhao Y, Wang J, Sneh T, Yu Q, Zhou X et al (2020) NBPF1 independently determine the risk stratification and prognosis of patients with neuroblastoma. Genomics 112(6):3951–3957

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank the staff of the Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China for their selfless and valuable assistance. In addition, thanks are due to all the medical researchers and staff who participated in maintaining the TARGET database.

Funding

This work was supported by the National Natural Science Foundation of China (No. 81971642 and 82102088), Capital’s Funds for Health Improvement and Research (No. 2020-2-2025).

Author information

Authors and Affiliations

Authors

Contributions

JY and PX: conceptualization; LF, YK, and CW: methodology; CW and HZ: software; LF and WW: validation; LF, YK, WW and CW: formal analysis; LF, YK and CW: investigation; LF and YK: data curation; LF, YK, WW, CW, HZ, PX and JY: writing—original draft preparation; LF, YK, WW, CW, HZ, PX and JY: writing—review and editing; LF, HZ and JY: visualization; JY and PX: supervision; HZ and PX: project administration; WW and JY: funding acquisition. All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Peng Xie or Jigang Yang.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Ethics approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Institutional Review Board of Beijing Friendship Hospital, Capital Medical University (No. 2020-P2-091-02).

Informed consent

Patient consent was waived due to the retrospective nature of the study. All data used in this manuscript were anonymized.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher's Note

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

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Feng, L., Kan, Y., Wang, W. et al. Development and validation of a nomogram for predicting survival in intermediate- and high-risk neuroblastoma of the Children's Oncology Group risk stratification. J Cancer Res Clin Oncol 149, 16377–16390 (2023). https://doi.org/10.1007/s00432-023-05398-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00432-023-05398-3

Keywords

Navigation