CIC inactivating mutations are associated with poor prognosis and increased proliferation pathways
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Vincent Gleize
PROVIDER: E-MTAB-2358 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Microarray analysis was used to determine the expression of 12,000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogliomas with classic histology. A 20-feature k-nearest neighbor model correctly classified 18 of the 21 classic cases in leave-one-out cross-validation when compared with pathological diagnoses. This model was then used to predict the classification of clinically common, histologically nonclassic samples. When tumors were classified according to pathology, the survival of patients with nonclassic glioblastoma and nonclassic anaplastic oligodendroglioma was not significantly different (P = 0.19). However, class distinctions according to the model were significantly associated with survival outcome (P = 0.05). This class prediction model was capable of classifying high-grade, nonclassic glial tumors objectively and reproducibly. Moreover, the model provided a more accurate predictor of prognosis in these nonclassic lesions than did pathological classification. These data suggest that class prediction models, based on defined molecular profiles, classify diagnostically challenging malignant gliomas in a manner that better correlates with clinical outcome than does standard pathology. louis-00379 Assay Type: Gene Expression Provider: Affymetrix Array Designs: HG_U95Av2 Organism: Homo sapiens (ncbitax) Material Types: total_RNA, synthetic_RNA, organism_part, whole_organism Disease States: Classic anaplastic oligodendroglioma, Non-classic glioblastoma, Classic glioblastoma, Non-classic anaplastic oligodendroglioma
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Project description:A Cartes d'Identite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net): Anaplastic oligodendrogliomas (AOs) are rare primary brain tumors which are generally incurable with few treatment targets identified. Most oligodendrogliomas have chromosome 1p/19q co-deletion and IDH mutation. We analyzed 51 AOs by whole-exome and/or transcriptome sequencing identifying previously reported frequent somatic mutations in CIC and FUBP1 genes. We also identified recurrent mutations in TCF12 (11% of IDHmut-codel) which encodes basic helix-loop-helix (bHLFH) transcription factor 12; which is an oligodendrocyte-related transcription factor in IDHmut-codel tumors. Strikingly, the somatic mutations (encoding E548R and R602M substitutions) have not been reported previously in cancer but are identical to germline mutations causing craniosynostosis. Incorporating TCGA data on 43 AO tumors also implicates functional mutation of SMARCA4, NOTCH1, NOTCH2, SETD2, RBPJ and ARID1A/1B. These data are compatible with the combined deregulation of metabolism, chromatin organization/remodeling and Notch-pathway genes in AO oncogenesis. Our analysis provides further insights into the unique and shared pathways driving AO and new targets for therapeutic intervention.
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