Transcriptomic Analysis Of Micropapillary High Grade T1 Urothelial Bladder Cancer
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ABSTRACT:
PROVIDER: PRJNA562495 | ENA |
REPOSITORIES: ENA
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Project description:Management of high-grade T1 (HGT1) micropapillary bladder cancer (MPBC) is controversial. An accurate genomic characterization might help predict outcome. We analyze the transcriptomic profile of MPBC in a clinically annotated HGT1 cohort establishing correlation with clinical outcome.A retrospective analysis of prospectively clinically followed series of HGT1; 23 patients with MPBC and 64 without MPBC (reference set). We identified a set of genes differentially expressed (DE). Associations between; clinical variables and gene expression (GE) levels (Wilcoxon’s rank sum); GE and time to progression (TTP) in univariate analysis (Log rank); GE levels adjusting for clinical variables (Cox regression) were evaluated.We identified a 26-gene signature that characterized MPBC in HGT1. Several genes including CD36, FAPB3 and RAETE1 were significantly associated with TTP. High expression of FABP3 and CD36 were associated with shorter TTP (P=0.045 and P=0.08 (NS)) as was low expression of RAET1E (P=0.01). Limitations include the lack of specific quantification of the percentage of MPBC tumor >10%.
2021-01-31 | GSE136401 | GEO
Project description:Analyses of mRNA gene expression profiling performed on 43 micropapillary bladder samples and 89 conventional urothelial carcinoma samples. Micropaillary tumors showed downregulation of miR-296 and activation of chromatin-remodeling complex RUVBL1. Micropapillary tumors evolve through luminal pathway.
2016-09-03 | GSE86411 | GEO
Project description:Purpose: The goals of this study are to compare 1. The transcription profile in KDM6A wildtype and KDM6A mutated urothelial bladder carcinoma. 2. The transcriptional changes in KDM6A mutated urothelial bladder carcinoma upon EZH2 inhibitor treatment.
2017-03-01 | GSE92723 | GEO
Project description:Stage T1 bladder cancers have the highest progression and recurrence rates of all non-muscle invasive bladder tumors. T1 tumors are heterogeneous; while most T1 patients are treated with BCG, many will progress and die from bladder cancer, and particularly aggressive tumors could be treated by early cystectomy. To better understand the molecular heterogeneity of T1 cancers, we performed transcriptome profiling and unsupervised clustering, identifying five consensus subtypes of T1 tumors treated with reTUR, induction and maintenance BCG. The T1-LumGU subtype was associated with CIS (6/13, 46% of all CIS), had high E2F1 and EZH2 expression, and enriched E2F target and G2M checkpoint Hallmarks. T1-Inflam was inflamed and infiltrated with immune cells. While most T1 tumors were classified as luminal papillary, the T1-TLum subtype had the highest median Luminal Papillary score and FGFR3 expression, no recurrence events, and the fewest copy number gains. T1-Myc and T1-Early subtypes had the most recurrences (14/30 within 24 months), highest median MYC expression, and, when combined, had significantly worse recurrence-free survival than the other three subtypes. T1-Early had 5 (38%) recurrences within the first 6 months of BCG, and repressed IFN-alpha and IFN-gamma Hallmarks and inflammation. We developed a single-patient T1 classifier and validated our subtype biology in a second cohort of T1 tumors. Future research will be necessary to validate the proposed T1 subtypes and to determine if therapies can be individualized for each subtype.
2020-07-13 | GSE154261 | GEO
Project description: Not available
| S-EPMC7675970 | biostudies-literature
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer.
2012-02-22 | GSE23732 | GEO
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
Project description:Expression profiling of a total of 656 proteins in 3 high grade non-muslce invasive bladder cancer cases/normal urothelial mucosa pairs
2014-07-16 | GSE59440 | GEO
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer. Under an ethical guideline of Chhatrapati Shahuji Maharaj Medical University, India histologically confirmed seven bladder cancer patients were recruited from Department of Urology, Chhatrapati Shahuji Maharaj Medical University, Lucknow, India. Total RNA was extracted from tumor biopsies and hybridized on affymetrix Human Gene ST 1.1 array to determine differentially expressed genes in urinary bladder cancer with muscle invasion in comparison of normal human urinary bladder.
2012-02-22 | E-GEOD-23732 | biostudies-arrayexpress
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