Cited by 831Glioma Diagnosis and TreatmentCancer Genomics and DiagnosticsAcute Myeloid Leukemia Research

Mutational landscape and clonal architecture in grade II and III gliomas

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Suzuki, Hiromichi, Aoki, Kosuke, Chiba, Kenichi, Sato, Yusuke, Shiozawa, Yusuke, Shiraishi, Yuichi, Shimamura, Teppei, Niida, Atsushi +23 more·2015·Nature Genetics

Abstract

Grade II and III gliomas are generally slowly progressing brain cancers, many of which eventually transform into more aggressive tumors. Despite recent findings of frequent mutations in IDH1 and other genes, knowledge about their pathogenesis is still incomplete. Here, combining two large sets of high-throughput sequencing data, we delineate the entire picture of genetic alterations and affected pathways in these glioma types, with sensitive detection of driver genes. Grade II and III gliomas comprise three distinct subtypes characterized by discrete sets of mutations and distinct clinical behaviors. Mutations showed significant positive and negative correlations and a chronological hierarchy, as inferred from different allelic burdens among coexisting mutations, suggesting that there is functional interplay between the mutations that drive clonal selection. Extensive serial and multi-regional sampling analyses further supported this finding and also identified a high degree of temporal and spatial heterogeneity generated during tumor expansion and relapse, which is likely shaped by the complex but ordered processes of multiple clonal selection and evolutionary events.

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Crossref · 10.1038/ng.3273

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  • D-2-HG is a competitive inhibitor of SDH, resulting in succinate accumulation, impaired mitochondrial oxygen consumption, and increased protein succinylation.

    “D-2-HG has also been found to be a competitive inhibitor of SDH, a key metabolic enzyme and tumour suppressor as previously discussed, resulting in the accumulation of succinate, impaired mitochondrial oxygen consumption and increased protein succinylation139.”

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Authors
Suzuki, H., Aoki, K., Chiba, K., Sato, Y., Shiozawa, Y., Shiraishi, Y., Shimamura, T., Niida, A., Motomura, K., Ohka, F., Yamamoto, T., Tanahashi, K., Ranjit, M., Wakabayashi, T., Yoshizato, T., Kataoka, K., Yoshida, K., Nagata, Y., Sato-Otsubo, A., Tanaka, H., Sanada, M., Kondo, Y., Nakamura, H., Mizoguchi, M., Abe, T., Muragaki, Y., Watanabe, R., Ito, I., Miyano, S., Natsume, A., & Ogawa, S.
Affiliations
  • Kyoto University (JP)
  • Institute of Medical Science, The University of Tokyo (JP)
  • Nagoya University (JP)
  • Nagoya University Hospital (JP)
  • Nagoya City University (JP)
  • Kumamoto University (JP)
  • Kyushu University (JP)
  • Tokyo Women's Medical University (JP)
  • Shizuoka Cancer Center (JP)
Corresponding author
  • Natsume, Atsushi
  • Ogawa, Seishi
Venue
Nature Genetics
Published
2015-04-13
Volume
47
Issue
5
Pages
458-468
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W1986092833
Cited by
831
References
66
Citations by year
2026: 25 · 2025: 48 · 2024: 46 · 2023: 60 · 2022: 85 · 2021: 82 · 2020: 96 · 2019: 82 · 2018: 96 · 2017: 107 · 2016: 79 · 2015: 25
FWCI
57.30
Type
journal article
Language
en
Open access
Locations
  • Nature Genetics (publishedVersion)
  • PubMed (publishedVersion)
  • Nagoya University Repository (NAGOYA Repository) (submittedVersion, other-oa)
Funders
Japan Society for the Promotion of Science (25290048, 15K19964, 15K12139, 26640088, 25730173)
Topics
  • Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
Keywords
mutational landscape, clonal architecture, glioma subtypes, driver genes, IDH1 mutation, clonal selection, tumor heterogeneity, tumor evolution, serial sampling, tumor recurrence
MeSH terms
Brain Neoplasms, Gene Frequency, Glioma, Humans, Mutation, Genetic Predisposition to Disease, Kaplan-Meier Estimate, Genetic Association Studies, DNA Copy Number Variations, High-Throughput Nucleotide Sequencing, Neoplasm Grading

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