Identification of Gender-Specific Molecular Differences in Glioblastoma (GBM) and Low-Grade Glioma (LGG) by the Analysis of Large Transcriptomic and Epigenomic Datasets.

Khan, Md Tipu; Prajapati, Bharat; Lakhina, Simran; Sharma, Mridula; Prajapati, Sachin; Chosdol, Kunzang; Sinha, Subrata

Khan, Md Tipu; Prajapati, Bharat; Lakhina, Simran; Sharma, Mridula; Prajapati, Sachin; Chosdol, Kunzang; Sinha, Subrata.

Afiliación

Khan MT; Department of Cellular and Molecular Neuroscience, National Brain Research Centre (NBRC), Manesar, India.
Prajapati B; Department of Cellular and Molecular Neuroscience, National Brain Research Centre (NBRC), Manesar, India.
Lakhina S; Department of Medical Biochemistry and Cell Biology, The Sahlgrenska Academy, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden.
Sharma M; Department of Biochemistry, All India Institute of Medical Science, Delhi, India.
Prajapati S; Department of Biochemistry, All India Institute of Medical Science, Delhi, India.
Chosdol K; Department of Biochemistry, All India Institute of Medical Science, Delhi, India.
Sinha S; Department of Biochemistry, All India Institute of Medical Science, Delhi, India.

Front Oncol ; 11: 699594, 2021.

Article en En | MEDLINE | ID: mdl-34621669

Palabras clave

epigenetics; gender-specific analysis; glioblastoma multiforme; low-grade glioma (LGG); pathway analysis; survival analysis; transcriptomics; weighted gene co-expression network analysis (WGCNA)

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: India

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