Association between molecular alterations and tumor location and MRI characteristics in anaplastic gliomas

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• 作者：Yukihiko Sonoda ; Ichiyoo Shibahara ; Tomohiro Kawaguchi…
• 关键词：Anaplastic glioma ; IDH mutation ; 1p19q co ; deletion ; Location
• 刊名：Brain Tumor Pathology
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：32
• 期：2
• 页码：99-104
• 全文大小：658 KB
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• 作者单位：Yukihiko Sonoda (1)
  Ichiyoo Shibahara (1)
  Tomohiro Kawaguchi (1)
  Ryuta Saito (1)
  Masayuki Kanamori (1)
  Mika Watanabe (2)
  Hiroyoshi Suzuki (3)
  Toshihiro Kumabe (4)
  Teiji Tominaga (1)
  
  1. Department of Neurosurgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
  2. Pathological Division, Tohoku University Hospital, Sendai, Miyagi, Japan
  3. Department of Pathology, Sendai Medical Center, Sendai, Miyagi, Japan
  4. Department of Neurosurgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
  
• 刊物主题：Neurosurgery; Neurology; Pathology; Oncology; Cancer Research;
• 出版者：Springer Japan
• ISSN：1861-387X

文摘

The aim of this study was to determine if molecular alterations are associated with tumor location and radiological characteristics in anaplastic gliomas. We performed a retrospective analysis of 122 anaplastic gliomas for molecular alterations (IDH1/2 mutations, TP53 mutations, and 1p19q co-deletion) to compare MRI features (location and image characteristics). We observed that IDH mutation is strongly associated with frontal location (P?=?0.001). However, 13 tumors not located in the cerebral cortex were IDH intact tumors (P?<?0.0001). While IDH mutation and TP53 mutation are significantly associated with AA (p?<?0.0001), IDH mutation and 1p19q co-deletion were significantly associated with AO/AOA (p?<?0.0001). No tumors with IDH mutation and 1p19q co-deletion infiltrated the temporal lobe (P?=?0.003). The tumors with 1p19q co-deletion and histologically diagnosed as AO/AOA were associated with contrast enhancement on MR images (p?=?0.007, p?=?0.002, respectively) and those with TP53 mutation had a weak association with sharp tumor borders (p?=?0.043). MRI features might be useful to predict molecular profiles in anaplastic gliomas.