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Survival after resection of malignant peripheral nerve sheath tumors: Introducing and validating a novel type-specific prognostic model

  • Ibtissam Acem*
  • , Ewout W. Steyerberg
  • , Marta Spreafico
  • , Dirk J. Gruenhagen
  • , Dario Callegaro
  • , Robert J. Spinner
  • , Courtney Pendleton
  • , J. Henk Coert
  • , Rosalba Miceli
  • , Giulia Abruzzese
  • , Uta E. Flucke
  • , Willem-Bart M. Slooff
  • , Thijs van Dalen
  • , Lukas B. Been
  • , Han J. Bonenkamp
  • , Monique H. M. E. Anten
  • , Martinus P. G. Broen
  • , Marc H. A. Bemelmans
  • , Jos A. M. Bramer
  • , Gerard R. Schaap
  • Arthur J. Kievit, Jos van der Hage, Winan J. van Houdt, Michiel A. J. van de Sande, Alessandro Gronchi, Cornelis Verhoef, Enrico Martin
*Corresponding author for this work
  • Erasmus MC Cancer Institute
  • Leiden University Medical Centre
  • Leiden University
  • Fondazione IRCCS Istituto Nazionale Tumori Milan
  • Mayo Clinic Rochester, MN
  • Stony Brook University
  • Utrecht University
  • Radboud University Nijmegen
  • University of Groningen
  • Maastricht University
  • Amsterdam UMC
  • Netherlands Cancer Institute
  • University Medical Centre Utrecht

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Web of Science)
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Abstract

Background: This study aimed to assess the performance of currently available risk calculators in a cohort of patients with malignant peripheral nerve sheath tumors (MPNST) and to create an MPNST-specific prognostic model including type-specific predictors for overall survival (OS). Methods: This is a retrospective multicenter cohort study of patients with MPNST from 11 secondary or tertiary centers in The Netherlands, Italy and the United States of America. All patients diagnosed with primary MPNST who underwent macroscopically complete surgical resection from 2000 to 2019 were included in this study. A multivariable Cox proportional hazard model for OS was estimated with prespecified predictors. Model performance was assessed for the Sarculator and PERSARC calculators by examining discrimination (C-index) and calibration. Internal-external cross-validation by different regions was performed to evaluate the generalizability of the model. Results: A total of 507 patients with primary MPNSTs were included from 11 centers in 7 regions. During follow-up, 211 patients died. The C-index was 0.60 for both Sarculator and PERSARC. The MPNST-specific model had a pooled C-index of 0.69 at validation, with adequate discrimination and calibration across regions. Conclusions: The MPNST-specific MONACO model can be used to predict 3-, 5-, and 10-year OS in patients with primary MPNST who underwent macroscopically complete surgical resection. Further validation may refine the model to inform patients and physicians on prognosis and support them in shared decision-making.

Original languageEnglish
Article numbervdae083
Number of pages10
JournalNeuro-Oncology Advances
Volume6
Issue number1
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright: © 2024 The Author(s). Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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