{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Saha SK"],"funding":["Deanship of Scientific Research, King Saud University"],"pagination":["E355"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6463114"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8(3)"],"pubmed_abstract":["Kidney-type glutaminase (<i>GLS</i>) and liver-type glutaminase (<i>GLS2</i>) are dysregulated in many cancers, making them appealing targets for cancer therapy. However, their use as prognostic biomarkers is controversial and remains an active area of cancer research. Here, we performed a systematic multiomic analysis to determine whether glutaminases function as prognostic biomarkers in human cancers. Glutaminase expression and methylation status were assessed and their prominent functional protein partners and correlated genes were identified using various web-based bioinformatics tools. The cross-cancer relationship of glutaminases with mutations and copy number alterations was also investigated. Gene ontology (GO) and pathway analysis were performed to assess the integrated effect of "],"journal":["Journal of clinical medicine"],"pubmed_title":["Multiomics Analysis Reveals that GLS and GLS2 Differentially Modulate the Clinical Outcomes of Cancer."],"pmcid":["PMC6463114"],"funding_grant_id":["RGP-1438-044"],"pubmed_authors":["Saha SK","Islam S","Ali F","Abdullah-Al-Wadud M","Islam SMR","Park KS"],"additional_accession":[]},"is_claimable":false,"name":"Multiomics Analysis Reveals that GLS and GLS2 Differentially Modulate the Clinical Outcomes of Cancer.","description":"Kidney-type glutaminase (<i>GLS</i>) and liver-type glutaminase (<i>GLS2</i>) are dysregulated in many cancers, making them appealing targets for cancer therapy. However, their use as prognostic biomarkers is controversial and remains an active area of cancer research. Here, we performed a systematic multiomic analysis to determine whether glutaminases function as prognostic biomarkers in human cancers. Glutaminase expression and methylation status were assessed and their prominent functional protein partners and correlated genes were identified using various web-based bioinformatics tools. The cross-cancer relationship of glutaminases with mutations and copy number alterations was also investigated. Gene ontology (GO) and pathway analysis were performed to assess the integrated effect of ","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Mar","modification":"2026-07-17T01:39:10.506Z","creation":"2025-05-18T12:51:08.519Z"},"accession":"S-EPMC6463114","cross_references":{"pubmed":["30871151"],"doi":["10.3390/jcm8030355"]}}