{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zand B"],"funding":["NCATS NIH HHS","NCI NIH HHS"],"pagination":["djv426"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4849357"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["108(6)"],"pubmed_abstract":["Background
The clinical and biological effects of metabolic alterations in cancer are not fully understood.Methods
In high-grade serous ovarian cancer (HGSOC) samples (n = 101), over 170 metabolites were profiled and compared with normal ovarian tissues (n = 15). To determine NAT8L gene expression across different cancer types, we analyzed the RNA expression of cancer types using RNASeqV2 data available from the open access The Cancer Genome Atlas (TCGA) website (http://www.cbioportal.org/public-portal/). Using NAT8L siRNA, molecular techniques and histological analysis, we determined cancer cell viability, proliferation, apoptosis, and tumor growth in in vitro and in vivo (n = 6-10 mice/group) settings. Data were analyzed with the Student's t test and Kaplan-Meier analysis"],"journal":["Journal of the National Cancer Institute"],"pubmed_title":["Role of Increased n-acetylaspartate Levels in Cancer."],"pmcid":["PMC4849357"],"funding_grant_id":["P50CA083639","U54CA151668","U54CA96297","CA016672","P30 CA016672","HHSN261200800001E","CA109298","P50CA098258","R21 CA185536","CA101642","UH2TR000943"],"pubmed_authors":["Sood AK","Zand B","Liu J","Guindani M","Hu W","Eli MB","Rupaimoole R","Pecot CV","Gharpure KM","Pradeep S","Nagrath D","Lopez-Berestein G","McCullough CR","Wang Y","Nick AM","Zacharias NM","Ivan C","Shoshan E","Previs RA","Yang L","Mitamura T","Lutgendorf SK","Bhattacharya PK","Baddour J","Rodriguez-Aguayo C","Baggerly KA","Mangala LS","Armaiz-Pena G","Nagaraja AS","Achreja A","Wu SY","Davies MA","Dalton HJ"],"additional_accession":[]},"is_claimable":false,"name":"Role of Increased n-acetylaspartate Levels in Cancer.","description":"Background
The clinical and biological effects of metabolic alterations in cancer are not fully understood.Methods
In high-grade serous ovarian cancer (HGSOC) samples (n = 101), over 170 metabolites were profiled and compared with normal ovarian tissues (n = 15). To determine NAT8L gene expression across different cancer types, we analyzed the RNA expression of cancer types using RNASeqV2 data available from the open access The Cancer Genome Atlas (TCGA) website (http://www.cbioportal.org/public-portal/). Using NAT8L siRNA, molecular techniques and histological analysis, we determined cancer cell viability, proliferation, apoptosis, and tumor growth in in vitro and in vivo (n = 6-10 mice/group) settings. Data were analyzed with the Student's t test and Kaplan-Meier analysis","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Jan","modification":"2025-04-04T07:30:23.284Z","creation":"2019-03-27T02:12:39Z"},"accession":"S-EPMC4849357","cross_references":{"pubmed":["26819345"],"doi":["10.1093/jnci/djv426"]}}