Mathematical Modeling and Mutational Analysis Reveal Optimal Therapy to Prevent Malignant Transformation in Grade II IDH-Mutant Gliomas.

doi:10.1158/0008-5472.CAN-21-0985

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Article

Mathematical Modeling and Mutational Analysis Reveal Optimal Therapy to Prevent Malignant Transformation in Grade II IDH-Mutant Gliomas.

Cancer research - 15 Sept 2021

Aoki Kosuke, Suzuki Hiromichi, Yamamoto Takashi, Yamamoto Kimiyo N, Maeda Sachi, Okuno Yusuke, Ranjit Melissa, Motomura Kazuya, Ohka Fumiharu, Tanahashi Kuniaki, Hirano Masaki, Nishikawa Tomohide, Shimizu Hiroyuki, Kitano Yotaro, Yamaguchi Junya, Yamazaki Shintaro, Nakamura Hideo, Takahashi Masamichi, Narita Yoshitaka, Nakada Mitsutoshi, Deguchi Shoichi, Mizoguchi Masahiro, Momii Yasutomo, Muragaki Yoshihiro, Abe Tatsuya, Akimoto Jiro, Wakabayashi Toshihiko, Saito Ryuta, Ogawa Seishi, Haeno Hiroshi, Natsume Atsushi

Abstract excerpt

Isocitrate dehydrogenase-mutant low-grade gliomas (IDHmut-LGG) grow slowly but frequently undergo malignant transformation, which eventually leads to premature death. Chemotherapy and radiotherapy treatments prolong survival, but can also induce genetic (or epigenetic) alterations involved in transformation. Here, we developed a mathematical model of tumor progression based on serial tumor volume data and...

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Identifiers

PMID: 34333454
DOI: 10.1158/0008-5472.CAN-21-0985
PMCID: PMC9635454

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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