A Distinct DNA Methylation Shift in a Subset of Glioma CpG Island Methylator Phenotypes during Tumor Recurrence
Glioma diagnosis is based on histomorphology and grading; however, such classification does not have predictive clinical outcome after glioblastomas have developed. To date, no bona fide biomarkers that significantly translate into a survival benefit to glioblastoma patients have been identified. We...
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Published in | Cell reports (Cambridge) Vol. 23; no. 2; pp. 637 - 651 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
10.04.2018
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Glioma diagnosis is based on histomorphology and grading; however, such classification does not have predictive clinical outcome after glioblastomas have developed. To date, no bona fide biomarkers that significantly translate into a survival benefit to glioblastoma patients have been identified. We previously reported that the IDH mutant G-CIMP-high subtype would be a predecessor to the G-CIMP-low subtype. Here, we performed a comprehensive DNA methylation longitudinal analysis of diffuse gliomas from 77 patients (200 tumors) to enlighten the epigenome-based malignant transformation of initially lower-grade gliomas. Intra-subtype heterogeneity among G-CIMP-high primary tumors allowed us to identify predictive biomarkers for assessing the risk of malignant recurrence at early stages of disease. G-CIMP-low recurrence appeared in 9.5% of all gliomas, and these resembled IDH-wild-type primary glioblastoma. G-CIMP-low recurrence can be characterized by distinct epigenetic changes at candidate functional tissue enhancers with AP-1/SOX binding elements, mesenchymal stem cell-like epigenomic phenotype, and genomic instability. Molecular abnormalities of longitudinal G-CIMP offer possibilities to defy glioblastoma progression.
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•Intra-subtype heterogeneity of initially G-CIMP-high carries worst prognosis•G-CIMP-low is defined by DNA signature motifs for STAT3 and c-JUN/AP-1 at recurrence•G-CIMP-low at recurrence mimics an IDH-wild-type and stem cell-like primary GBM•Predictive biomarkers of glioma malignant transformation and recurrence are observed at diagnosis
IDH-mutant lower-grade glioma glioblastoma often progresses to a more aggressive phenotype upon recurrence. de Souza et al. examines the intra-subtype heterogeneity of initial G-CIMP-high and use this information to identify predictive biomarkers for assessing the risk of recurrence and malignant transformation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AUTHOR CONTRIBUTIONS Conceptualization, H.N., C.F.d.S., and J.S.B.-S.; Methodology, C.F.d.S., H.N., T.S.S., T.M.M., A.S., O.M., and S.R.S.; Validation, C.F.d.S.; Formal Analysis, C.F.d.S., O.M., T.M.M., and A.S.; Investigation, C.F.d.S. and H.N.; Resources, C.F.d.S., H.N., J.S.B.-S., L.S., D.T., C.G.C., T.M.M., A.S., P.W.L., M.W., A.I., L.P., J.Z., J.S., T.S.S., T.M., W.A.F., K.L.M., A.d., Z.S., and S.K.; Data Curation, C.F.d.S., H.N., L.S., and J.S.B.-S.; Predictive Biomarkers, C.F.d.S. and H.N.; Integrative analysis, C.F.d.S. and H.N.; Data interpretation, C.F.d.S. and H.N.; Writing – Original Draft, C.F.d.S. and H.N.; Writing – Review & Editing, C.F.d.S. and H.N.; Visualization, C.F.d.S. and H.N.; Project administration, H.N. |
ISSN: | 2211-1247 2211-1247 |
DOI: | 10.1016/j.celrep.2018.03.107 |