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Updated: May 19, 2026

Primary Orthotopic Glioma Xenografts Recapitulate Infiltrative Growth and Isocitrate Dehydrogenase I Mutation
Published on: January 14, 2014
Frequent ATRX, CIC, FUBP1 and IDH1 mutations refine the classification of malignant gliomas
Yuchen Jiao1, Patrick J Killela, Zachary J Reitman
1Ludwig Center for Cancer Genetics and Howard Hughes Medical Institutions, The Johns Hopkins Kimmel Cancer Center, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Abstract:
Mutations in the critical chromatin modifier ATRX and mutations in CIC and FUBP1, which are potent regulators of cell growth, have been discovered in specific subtypes of gliomas, the most common type of primary malignant brain tumors. However, the frequency of these mutations in many subtypes of gliomas, and their association with clinical features of the patients, is poorly understood. Here we analyzed these loci in 363 brain tumors. ATRX is frequently mutated in grade II-III astrocytomas (71%), oligoastrocytomas (68%), and secondary glioblastomas (57%), and ATRX mutations are associated with IDH1 mutations and with an alternative lengthening of telomeres phenotype. CIC and FUBP1 mutations occurred frequently in oligodendrogliomas (46% and 24%, respectively) but rarely in astrocytomas or oligoastrocytomas ( more than 10%). This analysis allowed us to define two highly recurrent genetic signatures in gliomas: IDH1/ATRX (I-A) and IDH1/CIC/FUBP1 (I-CF). Patients with I-CF gliomas had a significantly longer median overall survival (96 months) than patients with I-A gliomas (51 months) and patients with gliomas that did not harbor either signature (13 months). The genetic signatures distinguished clinically distinct groups of oligoastrocytoma patients, which usually present a diagnostic challenge, and were associated with differences in clinical outcome even among individual tumor types. In addition to providing new clues about the genetic alterations underlying gliomas, the results have immediate clinical implications, providing a tripartite genetic signature that can serve as a useful adjunct to conventional glioma classification that may aid in prognosis, treatment selection, and therapeutic trial design.
Insights
Genetic signatures involving ATRX, CIC, and FUBP1 mutations define distinct glioma subtypes. These signatures, particularly IDH1/CIC/FUBP1, correlate with significantly improved patient survival, aiding in glioma classification and prognosis.
Area of Science:
- Neuro-oncology
- Cancer Genomics
- Molecular Pathology
Background:
- Gliomas are common primary brain tumors with varied subtypes.
- Mutations in ATRX, CIC, and FUBP1 are implicated in specific glioma subtypes.
- Understanding mutation frequencies and clinical associations is crucial for glioma classification.
Purpose of the Study:
- To investigate the frequency and clinical associations of ATRX, CIC, and FUBP1 mutations in a large cohort of gliomas.
- To define genetic signatures within gliomas based on these mutations.
- To evaluate the prognostic value of these genetic signatures.
Main Methods:
- Analysis of ATRX, CIC, and FUBP1 gene loci in 363 brain tumors.
- Correlation of mutation status with tumor grade, histological subtype, and clinical features.
- Identification and comparison of distinct genetic signatures (IDH1/ATRX and IDH1/CIC/FUBP1).
Main Results:
- ATRX mutations are frequent in grade II-III astrocytomas, oligoastrocytomas, and secondary glioblastomas, associated with IDH1 mutations and alternative lengthening of telomeres.
- CIC and FUBP1 mutations are prevalent in oligodendrogliomas.
- Two recurrent genetic signatures, IDH1/ATRX (I-A) and IDH1/CIC/FUBP1 (I-CF), were identified.
- I-CF gliomas showed significantly longer overall survival (96 months) compared to I-A gliomas (51 months) and gliomas without these signatures (13 months).
Conclusions:
- The study defines two key genetic signatures in gliomas with distinct clinical outcomes.
- These signatures aid in differentiating diagnostically challenging oligoastrocytoma subtypes.
- The tripartite genetic signature offers a valuable adjunct for glioma classification, prognosis, and treatment selection.

