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Absence of IDH mutation identifies a novel radiologic and molecular subtype of WHO grade II gliomas with dismal prognosis.

Authors :
Metellus P
Coulibaly B
Colin C
de Paula AM
Vasiljevic A
Taieb D
Barlier A
Boisselier B
Mokhtari K
Wang XW
Loundou A
Chapon F
Pineau S
Ouafik L
Chinot O
Figarella-Branger D
Source :
Acta neuropathologica [Acta Neuropathol] 2010 Dec; Vol. 120 (6), pp. 719-29. Date of Electronic Publication: 2010 Nov 16.
Publication Year :
2010

Abstract

The phenotypic heterogeneity of low-grade gliomas (LGGs) is still inconsistently explained by known molecular abnormalities in patients treated according to the present standards of care. IDH1 codon 132 and IDH2 codon 172 sequencing was performed in a series of 47 LGGs and correlated with clinical presentation, MR imaging characteristics, genomic profile and outcome. A total of 38 IDH1 mutations at codon 132 and 2 IDH2 mutations at codon 172 were found, including 35 R132H (87.5%), 2 R132C (5.0%), 1 R132S (2.5%) and 2 R172 M (5%). The IDH mutations were significantly associated with 1p19q deleted genotype (P = 0.031) and p53 expression (P = 0.014). The presence (vs. absence) of IDH mutations was associated with a better outcome (5-year survival rate, 93% vs. 51%, respectively, P = 0.000001). After adjustment for age, tumor location and size, radiologic infiltration pattern and extent of surgery, multivariate analysis confirmed that IDH mutations was an independent favorable prognostic factor (hazard ratio = 40.9; 95% CI, 2.89-578.49, P = 0.006). Furthermore, we showed that patients with IDH-nonmutated tumors were significantly older (P = 0.020) and that these tumors involved significantly more frequently the insula (P = 0.004), were larger in size (>6 cm, P = 0.047), displayed an infiltrative pattern on MRI (P = 0.007) and were all p53 negative with no 1p19q deletion (P < 10⁻⁶). The absence of IDH mutations in LGGs identifies a novel entity of LGGs with distinctive location, infiltrative behavior, specific molecular alterations, and dismal outcome. These findings could significantly modify the LGG classification and may represent a new tool to guide patient-tailored therapy.

Details

Language :
English
ISSN :
1432-0533
Volume :
120
Issue :
6
Database :
MEDLINE
Journal :
Acta neuropathologica
Publication Type :
Academic Journal
Accession number :
21080178
Full Text :
https://doi.org/10.1007/s00401-010-0777-8