DOI: 10.1093/noajnl/vdad110 ISSN:

Alterations in EGFR and PDGFRA are Associated with the Localization of Contrast-Enhancing Lesions in Glioblastoma

Ryutaro Makino, Nayuta Higa, Toshiaki Akahane, Hajime Yonezawa, Hiroyuki Uchida, Tomoko Takajo, Shingo Fujio, Mari Kirishima, Taiji Hamada, Hitoshi Yamahata, Kiyohisa Kamimura, Takashi Yoshiura, Koji Yoshimoto, Akihide Tanimoto, Ryosuke Hanaya
  • Surgery
  • Oncology
  • Neurology (clinical)



Glioblastoma (GBM) is a malignant brain tumor, with radiological and genetic heterogeneity. We examined the association between radiological characteristics and driver gene alterations.


We analyzed the driver genes of 124 patients with IDH-wildtype GBM with contrast enhancement using magnetic resonance imaging. We used a next-generation sequencing panel to identify mutations in driver genes and matched them with radiological information. Contrast-enhancing lesion localization of GBMs was classified into four groups based on their relationship with the subventricular zone (SVZ) and cortex (Ctx).


The cohort included 69 men (55.6%) and 55 women (44.4%) with a mean age of 66.4 ± 13.3 years. EGFR and PDGFRA alterations were detected in 28.2% and 22.6% of the patients, respectively. Contrast-enhancing lesion touching both the SVZ and Ctx was excluded because it was difficult to determine whether it originated from the SVZ or Ctx. Contrast-enhancing lesions touching the SVZ but not the Ctx had significantly worse overall survival than non-SVZ lesions (441 days vs. 897 days, p=0.002). GBM touching only the Ctx had a better prognosis (901 days vs. 473 days, p<0.001) than non-Ctx lesions and was associated with EGFR alteration (39.4% vs. 13.2%, p=0.015). Multiple contrast lesions were predominant in PDGFRA alteration and RB1-wildtype (p=0.036 and p=0.031, respectively).


EGFR alteration was associated with cortical lesions. And PDGFRA alteration correlated with multiple lesions. Our results suggest that clarifying the association between driver genes and tumor localization may be useful in clinical practice, including prognosis prediction.

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