MIB-1 index predicts low recurrence risk after subtotal resection of meningiomas: a retrospective study of 505

Laajava Joonas1, Määttä Jenni2, Korja Miikka2

  • 1Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, P.O. Box 266, Helsinki, FI-00029, Finland. joonas.laajava@helsinki.fi.

Neurosurgical Review
|June 11, 2026
PubMed

Insights

The MIB-1 proliferation index helps predict meningioma recurrence. A 4% MIB-1 cutoff identifies patients with a low risk of tumor recurrence, aiding in personalized follow-up strategies.

Area of Science:

  • Neuro-oncology
  • Surgical Pathology
  • Biomarker Research

Background:

  • The Ki-67/MIB-1 index is a prognostic biomarker for cellular proliferation.
  • In meningiomas, MIB-1 correlates with recurrence, with a proposed 4.1% cutoff.
  • Optimal patient stratification for MIB-1 thresholds requires further investigation.

Purpose of the Study:

  • To identify optimal patient groups for the MIB-1 proliferation index threshold.
  • To evaluate the MIB-1 index's effectiveness in predicting meningioma recurrence within stratified subgroups.

Main Methods:

  • Retrospective cohort study of adult patients (≥18 years) undergoing primary meningioma resection (2005-2018).
  • Inclusion criteria: available MIB-1 index and ≥5 years of MRI follow-up.
  • Analysis included meningiomas of all WHO grades, focusing on subtotally resected (STR) WHO grade I cases.

Main Results:

  • Of 505 patients, 58 STR WHO grade I meningiomas were analyzed; 36% recurred within 5 years.
  • Among 35 STR grade I meningiomas with MIB-1 ≤4%, only 11% recurred within 5 years.
  • Multivariable analysis identified preoperative tumor volume and MIB-1 ≤4% as significant predictors of 5-year recurrence.

Conclusions:

  • The MIB-1 index, particularly at a 4% cutoff, identifies a subgroup of meningioma patients with a low risk of recurrence.
  • MIB-1 utility is significant for designing individualized imaging follow-up strategies for WHO grade I meningiomas.
  • This biomarker aids in personalized management, especially when molecular genetics are not routinely assessed.

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