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Prediction of genetic subgroups in adult supra tentorial gliomas by pre- and intraoperative parameters

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Abstract

Recent progress in neuro-oncology has validated the significance of genetic diagnosis in gliomas. We previously investigated IDH1/2 and TP53 mutations via Sanger sequencing for adult supratentorial gliomas and reported that PCR-based sequence analysis classified gliomas into three genetic subgroups that have a strong association with patient prognosis: IDH mutant gliomas without TP53 mutations, IDH and TP53 mutant gliomas, and IDH wild-type gliomas. Furthermore, this analysis had a strong association with patient prognosis. To predict genetic subgroups prior to initial surgery, we retrospectively investigated preoperative radiological data using CT and MRI, including MR spectroscopy (MRS), and evaluated positive 5-aminolevulinic acid (5-ALA) fluorescence as an intraoperative factor. We subsequently compared these factors to differentiate each genetic subgroup. Multiple factors such as age at diagnosis, tumor location, gadolinium enhancement, 5-ALA fluorescence, and several tumor metabolites according to MRS, such as myo-inositol (myo-inositol/total choline) or lipid20, were statistically significant factors for differentiating IDH mutant and wild-type, suggesting that these two subtypes have totally distinct characteristics. In contrast, only calcification, laterality, and lipid13 (lipid13/total Choline) were statistically significant parameters for differentiating TP53 wild-type and mutant in IDH mutant gliomas. In this study, we detected several pre- and intraoperative factors that enabled us to predict genetic subgroups for adult supratentorial gliomas and clarified that lipid13 quantified by MRS is the key tumor metabolite that differentiates TP53 wild-type and mutant in IDH mutant gliomas. These results suggested that each genetic subtype in gliomas selects the distinct lipid synthesis pathways in the process of tumorigenesis.

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Acknowledgements

The authors are grateful to the patients who agreed for genetic examination of their tumor sample. We thank to Mrs. Fujiko Sueishi for her technical supports.

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Authors and Affiliations

  1. Department of Neurosurgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan

    Shunsuke Nakae, Masanobu Kumon, Yuya Nishiyama, Shigeo Ohba, Kazuhide Adachi, Shinya Nagahisa, Takuro Hayashi, Joji Inamasu, Mitsuhiro Hasegawa & Yuichi Hirose

  2. Department of Radiology, Fujita Health University, Toyoake, Japan

    Kazuhiro Murayama

  3. Department of Neurosurgery, Keio University, Tokyo, Japan

    Hikaru Sasaki

  4. Department of Pathology, Fujita Health University, Toyoake, Japan

    Masato Abe

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  1. Shunsuke Nakae
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  2. Kazuhiro Murayama
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  3. Hikaru Sasaki
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  4. Masanobu Kumon
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  5. Yuya Nishiyama
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  7. Kazuhide Adachi
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  8. Shinya Nagahisa
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  9. Takuro Hayashi
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  10. Joji Inamasu
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  11. Masato Abe
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  12. Mitsuhiro Hasegawa
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  13. Yuichi Hirose
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Correspondence to Yuichi Hirose.

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Nakae, S., Murayama, K., Sasaki, H. et al. Prediction of genetic subgroups in adult supra tentorial gliomas by pre- and intraoperative parameters. J Neurooncol 131, 403–412 (2017). https://doi.org/10.1007/s11060-016-2313-8

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  • DOI: https://doi.org/10.1007/s11060-016-2313-8

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