4612f446-5e68-4aa3-b9b3-dc4620ae2004 - samples
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ABSTRACT:
PROVIDER: EGAD00001006960 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:RNAseq FASTq files from 817 bulk pre-treatment tumors from three indications (mUC, NSCLC and RCC) across three phase II (IMvigor210, POPLAR, IMmotion150) and a phase I (PCD4989g) clinical trials.
| EGAD00001006631 | EGA
Project description:Elevated plasma interleukin-8 (IL8) has been associated with poor outcome to immune checkpoint blockade. Here we performed single cell RNAseq with peripheral blood mononuclear cells (PBMCs) of patients treated with atezolizumab (anti-PD-L1 mAb) from bladder cancer from a Phase II trial IMvigor210. We found that high IL8 gene expression is enriched in nonresponders to atezolizumab
2020-02-14 | GSE145281 | GEO
Project description:Expression profiling by arrays Urothelial carcinoma (UC) can arise at any location along the urothelial tract, including the urethra, bladder, ureter or renal pelvis. Although tumors arising in these various locations demonstrate similar morphology, it is unclear whether the gene expression profiles are similar in the upper tract (ureter and renal pelvis) or in the lower tract (bladder and urethra) carcinomas, especially given their different embryologic origins. As differences may facilitate potentially different screening and treatment modalities, we sought to examine the relationship between urothelial carcinoma of the renal pelvis (rUC) and urothelial carcinoma of the bladder (bUC). Fresh tumor tissue was collected from patients with bUC (n=10) and benign mucosa from the bladder (n=7) was collected from individuals undergoing resection for non-UC conditions for comparison. Gene expression profiles from these samples were determined using high-throughput Affymetrix gene expression microarray chips. Bioinformatic approaches were used to compare gene expression profiles of these samples and those of rUC (n= 14) and normal kidney (n=14) that were mostly used in our previous publication. Using unsupervised analytic approaches, rUC and bUC were indistinguishable. When supervised analytic approach was used, a very small number of potentially differentially expressed genes was identified; these differences were most likely to be limited to a single pathway - the chloride ion binding activity pathway -which was more frequently activated in rUC than in bUC. We found that the gene expression profiles of UCs from the upper and lower tract were extremely similar, suggesting that similar pathogenic mechanisms likely function in the development of these tumors. The differential expression of genes in the identified pathway may represent a potential new avenue for detection of upper tract tumors. Tissue samples with urothelial cell carcinoma from lower tract (bladder) as well as normal references were collected and the gene expression profiles were compared with gene expression profiles of samples in our previously published data set . No technical replicates.
2010-12-31 | E-GEOD-24152 | biostudies-arrayexpress
Project description:Metastatic urothelial carcinoma (UC) of the bladder is associated with multiple somatic copy number alterations (SCNAs). We evaluated SCNAs to identify predictors of poor survival in patients with metastatic UC treated with platinum chemotherapy.
2013-07-07 | GSE39281 | GEO
Project description:Metastatic urothelial carcinoma (UC) of the bladder is associated with multiple somatic copy number alterations (SCNAs). We evaluated SCNAs to identify predictors of poor survival in patients with metastatic UC treated with platinum chemotherapy.
2013-07-07 | GSE39280 | GEO
Project description:Whole exome sequencing FASTq files from 469 pre-treatment tumors from IMvigor210, POPLAR and IMmotion150, with matched PBMC samples.
| EGAD00001006632 | EGA
Project description:Matrices of TPM-normalized counts from RNAseq data for the three phase II clinical trials (IMvigor210, POPLAR, IMmotion150) and the phase I clinical trial PCD4989g.
| EGAD00001006741 | EGA
Project description:Characterization of the gene expression profiles of specific cell populations of the human urinary bladder provides an important set of research tools for the study of cellular differentiation and the cancer process. The transcriptome is a definitive identifier of each individual cell types. Surgically resected tissue was digested by collagenase and the different cell types were sorted by antibodies to cluster designation (CD) cell surface antigens. The sorted cells were analyzed by DNA microarrays. The transcriptome datasets were analyzed for differentially expressed genes and plotted on a principal components analysis space for cell lineage relationship. The following bladder cell types were analyzed: CD9+ urothelial, CD104+ basal, CD13+ stromal of lamina propria, CD9+ urothelial carcinoma cancer, and CD13+ urothelial carcinoma-associated stromal. Gene expression differences between the cell types of tumor and their respective non-cancer counterpart provide biomarker candidates. Basal cells of the bladder and prostate, although sharing CD cell surface markers, are quite different in overall gene expression. Furthermore, these cells lack transcript features of stem cell signature of embryonic stem or embryonal carcinoma cells. Cell type-specific transcriptomes are more informative than bulk tissue transcriptomes. The relatedness of different cell types can be determined by transcriptome dataset comparison. Bladder cell types were sorted from tissue specimens, and analyzed by DNA microarrays. The various transcriptomes were compared by principal components analysis for cell lineage relationship.
2011-07-09 | E-GEOD-30522 | biostudies-arrayexpress
Project description:Objectives: Much of the information to date in terms of subtypes and function of bladder urothelial cells were derived from anatomical location or by the expression of a small number of marker genes. To have a comprehensive map of the cellular anatomy of bladder urothelial cells, we performed single-cell RNA-sequencing to thoroughly characterize mouse bladder urothelium. Materials and methods: A total of 18,917 single cells from mouse bladder urothelium was analyzed by unbiased single-cell RNA sequencing. The expression of the novel cell marker was confirmed by immunofluorescence using urinary tract infections models. Results: Unsupervised clustering analysis identified 8 transcriptionally distinct cell subpopulations from mouse bladder urothelial cells. We discovered a novel type of bladder urothelial cells marked by Plxna4 that may be involved with host response and wound healing. We also found a group of basal-like cells labeled by ASPM that could be the progenitor cells of adult bladder urothelium. ASPM+ urothelial cells are significantly increased after injury by UPEC. In addition, specific transcription factors were found to be associated with urothelial cell differentiation. At the last, a number of interstitial cystitis/bladder pain syndrome-regulating genes were found differentially expressed among different urothelial cell subpopulations. Conclusions: Our study provides a comprehensive characterization of bladder urothelial cells, which is fundamental to understanding the biology of bladder urothelium and associated bladder disease.
2020-12-12 | GSE163029 | GEO