Acta Neuropathologica Communications (Jan 2023)

Clinico-pathological and epigenetic heterogeneity of diffuse gliomas with FGFR3::TACC3 fusion

  • Alice Métais,
  • Arnault Tauziède-Espariat,
  • Jeremy Garcia,
  • Romain Appay,
  • Emmanuelle Uro-Coste,
  • David Meyronet,
  • Claude-Alain Maurage,
  • Fanny Vandenbos,
  • Valérie Rigau,
  • Dan Christian Chiforeanu,
  • Johan Pallud,
  • Suhan Senova,
  • Raphaël Saffroy,
  • Carole Colin,
  • Myriam Edjlali,
  • Pascale Varlet,
  • Dominique Figarella-Branger,
  • The Biopathology RENOCLIP-LOC network

DOI
https://doi.org/10.1186/s40478-023-01506-z
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 16

Abstract

Read online

Abstract Background Gliomas with FGFR3::TACC3 fusion mainly occur in adults, display pathological features of glioblastomas (GB) and are usually classified as glioblastoma, IDH-wildtype. However, cases demonstrating pathological features of low-grade glioma (LGG) lead to difficulties in classification and clinical management. We report a series of 8 GB and 14 LGG with FGFR3:TACC3 fusion in order to better characterize them. Methods Centralized pathological examination, search for TERT promoter mutation and DNA-methylation profiling were performed in all cases. Search for prognostic factors was done by the Kaplan–Meir method. Results TERT promoter mutation was recorded in all GB and 6/14 LGG. Among the 7 cases with a methylation score > 0.9 in the classifier (v12.5), 2 were classified as glioblastoma, 4 as ganglioglioma (GG) and 1 as dysembryoplastic neuroepithelial tumor (DNET). t-SNE analysis showed that the 22 cases clustered into three groups: one included 12 cases close to glioblastoma, IDH-wildtype methylation class (MC), 5 cases each clustered with GG or DNET MC but none with PLNTY MC. Unsupervised clustering analysis revealed four groups, two of them being clearly distinct: 5 cases shared age ( 40), pathological features of glioblastoma, and were TERT-mutated. Relevant factors associated with a better prognosis were age < 40 and lack of TERT promoter mutation. Conclusion Among gliomas with FGFR3::TACC3 fusion, age, TERT promoter mutation, pathological features, DNA-methylation profiling and fusion subtype are of interest to determine patients’ risk.

Keywords