A Targeted Bioinformatics Assessment of Adrenocortical Carcinoma Reveals Prognostic Implications of GABA System Gene Expression.

Knott, Erika L; Leidenheimer, Nancy J

Knott, Erika L; Leidenheimer, Nancy J.

Affiliation

Knott EL; Department of Biochemistry and Molecular Biology, Louisiana State University Health Shreveport, Shreveport, LA 71103, USA.
Leidenheimer NJ; Department of Biochemistry and Molecular Biology, Louisiana State University Health Shreveport, Shreveport, LA 71103, USA.

Int J Mol Sci ; 21(22)2020 Nov 11.

Article in En | MEDLINE | ID: mdl-33187258

Subject(s)

Adrenal Cortex Neoplasms/genetics; Adrenocortical Carcinoma/genetics; Gene Expression/genetics; gamma-Aminobutyric Acid/genetics; Adrenal Cortex Neoplasms/pathology; Adrenocortical Carcinoma/pathology; Cell Line, Tumor; Cell Proliferation/genetics; Computational Biology/methods; Humans; Mitochondria/genetics; Mitochondria/pathology; Prognosis; Receptors, GABA-A/genetics; Receptors, GABA-B/genetics; Transcriptome/genetics; Up-Regulation/genetics

Key words

ABAT; GABA shunt; GABAA receptors; GABRD; NCI-H295R; TCGA; adrenocortical carcinoma; cBioPortal; cancer; metabolic heterogeneity

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression / Adrenal Cortex Neoplasms / Adrenocortical Carcinoma / Gamma-Aminobutyric Acid Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Mol Sci Year: 2020 Document type: Article Affiliation country: United States Country of publication: Switzerland

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