4.6 Review

Glioma CpG island methylator phenotype (G-CIMP): biological and clinical implications

Journal

NEURO-ONCOLOGY
Volume 20, Issue 5, Pages 608-620

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/neuonc/nox183

Keywords

CpG island methylator phenotype (CIMP); DNA methylation; G-CIMP (glioma-CIMP); glioma progression; IDH mutation; molecular subtypes

Funding

  1. Henry Ford Hospital
  2. Sao Paulo Research Foundation (FAPESP) [14/02245-3, 15/07925-5, 16/01389-7, 16/06488-3, 16/01975-3, 16/15485-8, 16/12329-5, 16/10436-9, 16/11039-3, 14/08321-3]
  3. Coordination of Improvement of Higher Education Personnel (CAPES)
  4. Brazilian National Council for Scientific and Technological Development (CNPq) [164061/2015-0]
  5. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [16/01975-3, 16/11039-3, 16/06488-3, 14/08321-3, 16/15485-8, 16/12329-5, 15/07925-5, 14/02245-3] Funding Source: FAPESP

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Gliomas are a heterogeneous group of brain tumors with distinct biological and clinical properties. Despite advances in surgical techniques and clinical regimens, treatment of high-grade glioma remains challenging and carries dismal rates of therapeutic success and overall survival. Challenges include the molecular complexity of gliomas, as well as inconsistencies in histopathological grading, resulting in an inaccurate prediction of disease progression and failure in the use of standard therapy. The updated 2016 World Health Organization (WHO) classification of tumors of the central nervous system reflects a refinement of tumor diagnostics by integrating the genotypic and phenotypic features, thereby narrowing the defined subgroups. The new classification recommends molecular diagnosis of isocitrate dehydrogenase (IDH) mutational status in gliomas. IDH-mutant gliomas manifest the cytosine-phosphate-guanine (CpG) island methylator phenotype (G-CIMP). Notably, the recent identification of clinically relevant subsets of G-CIMP tumors (G-CIMP-high and G-CIMP-low) provides a further refinement in glioma classification that is independent of grade and histology. This scheme may be useful for predicting patient outcome and may be translated into effective therapeutic strategies tailored to each patient. In this review, we highlight the evolution of our understanding of the G-CIMP subsets and how recent advances in characterizing the genome and epigenome of gliomas may influence future basic and translational research.

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