Comparative analysis of histologically classified oligodendrogliomas reveals characteristic molecular differences between subgroups.

Lauber, Chris; Klink, Barbara; Seifert, Michael

Lauber, Chris; Klink, Barbara; Seifert, Michael.

Affiliation

Lauber C; Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Klink B; Institute for Clinical Genetics, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Seifert M; National Center for Tumor Diseases, Dresden, Germany.

BMC Cancer ; 18(1): 399, 2018 04 10.

Article in En | MEDLINE | ID: mdl-29631562

Subject(s)

Biomarkers, Tumor; Brain Neoplasms/diagnosis; Brain Neoplasms/genetics; Oligodendroglioma/diagnosis; Oligodendroglioma/genetics; Brain Neoplasms/metabolism; Brain Neoplasms/mortality; Computational Biology/methods; DNA Copy Number Variations; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; Humans; Immunoglobulin Heavy Chains/genetics; Mutation; Mutation Rate; Oligodendroglioma/metabolism; Oligodendroglioma/mortality; Prognosis; Signal Transduction

Key words

Bioinformatics; Computational systems biology; Gene expression signature; Gene regulatory network; Histologically classified oligodendrogliomas; Molecular subgroup

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Full text: 1 Database: MEDLINE Main subject: Oligodendroglioma / Brain Neoplasms / Biomarkers, Tumor Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Cancer Journal subject: NEOPLASIAS Year: 2018 Type: Article Affiliation country: Germany

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