IDH1/IDH2 mutations predict survival in glioma and AML

Mutations in the isocitrate dehydrogenase family genes 1 or 2 (IDH1/2) have been discovered by high through put sequencing approaches inglioma and acute myeloid leukemia (AML) and related myeloproliferativeneoplasms. In both diseases, the discovery of IDH mutations has identifieda prognostically new subtype with distinct pathogenetic evolution. Ingliomas mutations are mostly found in IDH1 (>90%). They are infrequent inprimary glioblastoma (GBM) (<10%), but common in secondary GBM thatevolve from lower grade glioma (60−90%). Mutations in IDH1 precede p53mutations or 1p/19q co-deletions in sporadic low grade glioma, hence arean early evant. Co-deletions of 1p/19q, characteristic for oligodenroglioma,are highly associated with IDH1/2 mutations, while they are mutuallyexclusive with EGFR amplifications, a hall mark of primary GBM. IDH1 or 2mutations are associated with younger patient age, but absent in childhoodgliomas, and have a better prognosis that seems to be consistent in gradeII through IV gliomas. In myeloid malignancies mutations are more likelyin IDH2 and are found in de novo and secondary AML (12−18%) andpre-leukemic clonal malignancies (5% chronic; 20% transformed). IDH1/2mutations are strongly associated with NPM1 mutations that are found in30% of novo cytogenetically normal AML. In CN-AML with mutated NPM1,without FLT3 internal tandem duplication (ITD) IDH mutations constitutean adverse prognostic factor. Mutations in the metabolic enzymes IDH1 or2 result in a neomorphic reaction, generating high levels of the metabolite2-hydroxyglutarate (2-HG). IDH mutations are mutually exclusive with TET2mutations in myeloid malignancies that led to the discovery that high levelsof 2-HG inhibit the a-KG dependent dioxygenase TET2. TET2 is involved inepigenetic regulation and mediates demethylation of DNA. This mechanismis in accordance with the association of a methylator phenotype with loss offunction of TET2 by mutation or indirectly by mutation of IDH1/2 in myeloidmalignancies and gliomas, respectively.Metabolism meets Epigenetics. These discoveries will have importantclinical implications: IDH1/2 mutants may serve as unique targets fortherapy. Further, the high concentrations of the onco-metabolite 2-HGgenerated by IDH1/2 mutants, may serve as biomarker in the serum ofpatients with myeloid malignancies and may be amenable by magneticresonance spectroscopy in glioma patients.

IDH2 mutations are frequent in angioimmunoblastic T-cell lymphoma.

Mutations in isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) occur in most grade 2 and 3 gliomas, secondary glioblastomas, and a subset of acute myelogenous leukemias but have not been detected in other tumor types. The mutations occur at specific arginine residues and result in the acquisition of a novel enzymatic activity that converts 2-oxoglutarate to D-2-hydroxyglutarate. This study reports IDH1 and IDH2 genotyping results from a set of lymphomas, which included a large set of peripheral T-cell lymphomas. IDH2 mutations were identified in approximately 20% of angioimmunoblastic T-cell lymphomas (AITLs), but not in other peripheral T-cell lymphoma entities. These results were confirmed in an independent set of AITL patients, where the IDH2 mutation rate was approximately 45%. This is the second common genetic lesion identified in AITL after TET2 and extends the number of neoplastic diseases where IDH1 and IDH2 mutations may play a role.

Molecular neuro-oncology in clinical practice: a new horizon.

Primary brain tumours are heterogeneous in histology, genetics, and outcome. Although WHO's classification of tumours of the CNS has greatly helped to standardise diagnostic criteria worldwide, it does not consider the substantial progress that has been made in the molecular classification of many brain tumours. Recent practice-changing clinical trials have defined a role for routine assessment of MGMT promoter methylation in glioblastomas in elderly people, and 1p and 19q codeletions in anaplastic oligodendroglial tumours. Moreover, large-scale molecular profiling approaches have identified new mutations in gliomas, affecting IDH1, IDH2, H3F3, ATRX, and CIC, which has allowed subclassification of gliomas into distinct molecular subgroups with characteristic features of age, localisation, and outcome. However, these molecular approaches cannot yet predict patients' benefit from therapeutic interventions. Similarly, transcriptome-based classification of medulloblastoma has delineated four variants that might now be candidate diseases in which to explore novel targeted agents.

Gene expression signatures delineate biological and prognostic subgroups in peripheral T-cell lymphoma

Peripheral T-cell lymphoma (PTCL) encompasses a heterogeneous group of neoplasms with generally poor clinical outcome. Currently 50% of PTCL cases are not classifiable: PTCL-not otherwise specified (NOS). Gene-expression profiles on 372 PTCL cases were analyzed and robust molecular classifiers and oncogenic pathways that reflect the pathobiology of tumor cells and their microenvironment were identified for major PTCL-entities, including 114 angioimmunoblastic T-cell lymphoma (AITL), 31 anaplastic lymphoma kinase (ALK)-positive and 48 ALK-negative anaplastic large cell lymphoma, 14 adult T-cell leukemia/lymphoma and 44 extranodal NK/T-cell lymphoma that were further separated into NK-cell and gdT-cell lymphomas. Thirty-seven percent of morphologically diagnosed PTCL-NOS cases were reclassified into other specific subtypes by molecular signatures. Reexamination, immunohistochemistry, and IDH2 mutation analysis in reclassified cases supported the validity of the reclassification. Two major molecular subgroups can be identified in the remaining PTCL-NOS cases characterized by high expression of either GATA3 (33%; 40/121) or TBX21 (49%; 59/121). The GATA3 subgroup was significantly associated with poor overall survival (P = .01). High expression of cytotoxic gene-signature within the TBX21 subgroup also showed poor clinical outcome (P = .05). In AITL, high expression of several signatures associated with the tumor microenvironment was significantly associated with outcome. A combined prognostic score was predictive of survival in an independent cohort (P = .004).