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Genome wide expression profiling of 30 urothelial cancer cells

ABSTRACT: Expression profiling of a panel of urothelial cancer cells. The goal of the study is to exam the genome wide expression profile in each of the 30 urothelial cancer cells tested in our laboratory

ORGANISM(S): Homo sapiens

PROVIDER: GSE47992 | GEO | 2014/05/01

SECONDARY ACCESSION(S): PRJNA208593

REPOSITORIES: GEO

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Genome wide expression profiling of 30 urothelial cancer cells

Project description:Expression profiling of a panel of urothelial cancer cells. The goal of the study is to exam the genome wide expression profile in each of the 30 urothelial cancer cells tested in our laboratory Each of the 30 cell lines was DNA fingerprinted to confirm its real identity. Total RNA was obtained from each cell line and subjected to illumina expression profiling microarray

2014-05-01 | E-GEOD-47992 | biostudies-arrayexpress

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Project description:For patients with muscle-invasive bladder cancer, there are no biomarkers in clinical use that can identify patients that are sensitive or resistant to neoadjuvant chemotherapy. This study investigates how molecular subtypes impact pathological response and survival in 149 patients receiving preoperative cis-platin based chemotherapy by tumor classification using transcriptomic profiling and a 13-marker immunostaining panel. Furthermore, we explored to what extent gene expression signatures can predict chemotherapy response beyond molecular subtypes. We observed improved pathological response rates and survival outcomes for patients presenting with genomically unstable (GU) and urothelial-like (Uro) subtypes compared to the basal-squamous (BASQ) subtype following neoadjuvant chemotherapy and radical cystectomy. Also, SPP1, coding for osteopontin, displayed a clear subtype-dependent effect on chemotherapy response, confirmed at the protein level. Based on our findings, we hypothesize that urothelial cancer of the luminal-like GU- and Uro-subtypes are more responsive to cisplatin-based chemotherapy which may influence patient selection pending further research.

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Epigenome profiling of repressive histone modifications, DNA methylation and gene expression in normal and malignant urothelial cells

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Project description:Urine metabolomics has been a promising technique in the liquid biopsy of urothelial cancer (UC). The comparison of upper tract urothelial cancer (UTUC), lower tract urothelial cancer (BCa), and healthy controls (HCs) needs to be performed to find related biomarkers. In our investigation, urine samples from 34 UTUCs, 45 BCas, and 53 gender- and age-matched HCs were analyzed using liquid chromatography-high resolution mass spectrometry (LC-HRMS). In different groups, the differential metabolites and the disturbed metabolism pathways were explored. Transcriptomics and urine metabolomics are combined to identify the probable disturbed gene in BCa. With an area under the curve (AUC) of 0.815, the panel consisting of prostaglandin I2, 5-methyldeoxycytidine, 2,6-dimethylheptanoyl carnitine, and deoxyinosine was able to discriminate UC from HC. With an AUC of 0.845, the validation group also demonstrated strong predictive ability. UTUC and BCa without hematuria could be distinguished using the panel of 5'-methylthioadenosine, L-beta-aspartyl-L-serine, dehydroepiandrosterone sulfate, and N'-formylkynurenine (AUC=0.858). The metabolite panel comprising aspartyl-methionine, 7-methylinosine, and alpha-CEHC glucuronide could discriminate UTUC from BCa with hematuria with an AUC of 0.83. Fatty acid biosynthesis, purine metabolism, tryptophan metabolism, pentose and glucuronate interconversions, and arachidonic acid metabolism were dysregulated when comparing UC with HCs. PTGIS and BCHE, the genes related to the metabolism of prostaglandin I2 and myristic acid respectively, were significantly associated with the survival of BCa. Not only could LC-HRMS urine metabolomic investigations distinguish UC from HCs, but they could also identify UTUC from BCa.

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