Clinical and Genetic Landscape of Glioblastoma, <scp>IDH</scp> ‐Wildtype With <scp> <i>FGFR</i> </scp> Gene Family Alterations

Glioblastoma, isocitrate dehydrogenase wildtype (GBM, IDH-wt), is a highly aggressive brain tumor with a poor prognosis. Alterations in the fibroblast growth factor receptor (FGFR) gene family-such as FGFR::TACC fusions and FGFR1 mutations-have emerged as potential therapeutic targets; however, their clinical and genetic features in GBM, IDH-wt remain unclear. We analyzed 1076 GBM, IDH-wt cases using comprehensive genomic profiling data from the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database in Japan. FGFR alterations were detected in 8.0% of patients, including FGFR::TACC fusions (3.3%) and FGFR1 mutations (2.9%). The FGFR::TACC fusion-positive group was older at diagnosis and showed higher frequencies of TERT promoter mutation and MDM2 amplification, and lower frequencies of EGFR amplification and TP53 mutation, compared with the fusion-negative group. The FGFR1 mutation-positive group was enriched for ATRX, NF1, and PIK3CA mutations and had significantly fewer TERT promoter and PTEN mutations, compared with the mutation-negative group. No significant differences in overall survival were observed, although both groups tended to have longer median overall survival compared with their respective negative groups. This study represents the largest genomic cohort to date of FGFR alterations in GBM, IDH-wt. FGFR::TACC fusion-positive and FGFR1 mutation-positive GBMs exhibited distinct genetic profiles, highlighting the clinical relevance of molecular subclassification and providing insight for future therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Cancer Science
Published
2026-02-25
DOI
https://doi.org/10.1111/cas.70347
Primary Topic
Fibroblast Growth Factor Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical and Genetic Landscape of Glioblastoma, IDH ‐Wildtype With FGFR Gene Family Alterations

Shinichi Toyooka, Yoshihiro Otani, Yasuhito Kegoya, Joji Ishida et al.
Cancer Science
Fibroblast Growth Factor Research
article

Clinical and Genetic Landscape of Glioblastoma, IDH ‐Wildtype With FGFR Gene Family Alterations

Shinichi Toyooka, Yoshihiro Otani, Yasuhito Kegoya, Joji Ishida, Mako Kamiura, Ryosuke Ikemachi, Daisuke Ennishi, S. Tomida, Ryo Mizuta, Shota TANAKA
article en

Abstract

Glioblastoma, isocitrate dehydrogenase wildtype (GBM, IDH-wt), is a highly aggressive brain tumor with a poor prognosis. Alterations in the fibroblast growth factor receptor (FGFR) gene family-such as FGFR::TACC fusions and FGFR1 mutations-have emerged as potential therapeutic targets; however, their clinical and genetic features in GBM, IDH-wt remain unclear. We analyzed 1076 GBM, IDH-wt cases using comprehensive genomic profiling data from the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database in Japan. FGFR alterations were detected in 8.0% of patients, including FGFR::TACC fusions (3.3%) and FGFR1 mutations (2.9%). The FGFR::TACC fusion-positive group was older at diagnosis and showed higher frequencies of TERT promoter mutation and MDM2 amplification, and lower frequencies of EGFR amplification and TP53 mutation, compared with the fusion-negative group. The FGFR1 mutation-positive group was enriched for ATRX, NF1, and PIK3CA mutations and had significantly fewer TERT promoter and PTEN mutations, compared with the mutation-negative group. No significant differences in overall survival were observed, although both groups tended to have longer median overall survival compared with their respective negative groups. This study represents the largest genomic cohort to date of FGFR alterations in GBM, IDH-wt. FGFR::TACC fusion-positive and FGFR1 mutation-positive GBMs exhibited distinct genetic profiles, highlighting the clinical relevance of molecular subclassification and providing insight for future therapeutic strategies.

Cancer Science
Okayama University (JP), Okayama University Hospital (JP)
No poverty
Openalex Percentile: Top 40%
Fibroblast Growth Factor Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.