Whole genome expression data from human urinary bladder cancer
Ontology highlight
ABSTRACT: 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.
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.
Project description:This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis 165 primary bladder cancer samples and 23 recurrent non-muscle invasive tumor tissues from 14 patients were taken in the Chungbuk National University Hospital. Only histologically verified transitional cell carcinoma samples were selected. Simultaneously 58 normal looking bladder mucosae surrounding cancer were obtained during the operation, which were histologically confirmed normal. Also, 10 normal bladder mucosae were obtained from patients with benign disease. The normal controls were determined to be free of cancer after revealing no malignant cells on urine cytology and no observable bladder cancer on cystoscopic examination during operation for their diseases, and were histologically reconfirmed normal.
Project description:Screening for urinary bladder cancer was performed in dogs in a breed (Scottish Terriers) with a very high inherited risk for bladder cancer. Naturally-occurring urothelial carcinoma in dogs serves as a relevant model for muscle invasive bladder cancer in humans. Urothelial carcinoma was detected in dogs with no outward evidence of the cancer. RNAseq data analyses were performed on these "early" tumors, and the sequencing files are included here. RNA-seq data from additional dogs has been deposited in the NCI Integrated Canine Data Commons (ICDC UBC02).
Project description:Bladder cancer (BC) is the most common malignant tumor of the urinary tract, ranking 4th among men and 18th among women, and it is mainly divided into non-muscle invasive and muscle-invasive. Recent studies showed that changes in the transcriptome activity may contribute to carcinogenesis. Thus, the study of the transcriptome may allow the identification of additional differentially expressed cancer-related candidate genes and, consequently, a better understanding of the molecular basis of gene regulation in BC. This case-control study consists of a mRNA analysis performed by RNA-seq in 11 BC patients (11 males; mean age 63.00±9.88 years) and 19 age- and sex-matched healthy controls (19 males ; mean age 58.81±23.41 years) from publish dataset.
Project description:Identification of bladder cancer subsets 142 primary bladder tumors including superficial and invasive tumors were arrayed. 73 invasive tumors out of 142 tumors were used for muscle invasive baldder cancer classification
Project description:Purpose: Selecting muscle-invasive bladder cancer patients for adjuvant therapy is currently based on clinical variables with limited power. We hypothesized that genomic-based signatures can outperform clinical models to identify patients at higher risk. Method:Transcriptome-wide expression profiles were generated using 1.4 million feature-arrays on archival tumors from 225 patients who underwent radical cystectomy and had muscle-invasive and/or node-positive bladder cancer. A 15-feature GC was developed on the discovery set with area under curve (AUC) of 0.77 in the validation set. A cohort comprised of 225 patients with organ-confined, muscle-invasive (pT2N0M0),extravesical (pT3-4aN0M0), and node-positive (pTanyN1-3M0) UCB who underwent radicalcystectomy at the University of Southern California between 1998 and 2004 was used. Each patient had aminimum two-year follow-up post-cystectomy unless they recurred prior to that date. Patients receiving neoadjuvant chemotherapy, and those with clinical evidence of lymphadenopathy or distant metastasis at diagnosis were excluded.
Project description:Bladder cancer, the most common malignancy of the urinary tract, has a poor overall survival rate if the tumor becomes muscle invasive. The discovery and evaluation of new alternative medications targeting high-grade muscle invasive bladder cancer (MIBC) are of tremendous importance in reducing bladder cancer mortality. Isorhapontigenin (ISO), a stilbene derivative from Chinese herb Gnetum cleistostachyum, exhibits a strong anti-cancer effect on MIBCs. Here, we report the whole transcriptome profiling of ISO-treated human bladder cancer T24 cells. A total of 1047 differentially expressed genes (DEGs) were identified, including 596 downregulated and 451 upregulated genes. Functional annotation and pathway analysis revealed that ISO treatment induced massive changes in gene expression associated with cell movement, migration, invasion, metabolism, proliferation, and angiogenesis. Additionally, ISO treatment activated genes involved in the inflammatory response but repressed genes involved in hypoxia signaling, glycolysis, the actin cytoskeleton, and the tumor microenvironment. In summary, our whole transcriptome analysis demonstrated a shifted metabolism and altered actin cytoskeleton in ISO treated T24 cells, which subsequently contribute to tumor microenvironment remodeling that suppresses tumor growth and progression.
Project description:It is unclear how urothelial carcinoma of the urinary bladder change, genetically and phenotypically, as patients progress from recurrent non muscle-invasive (NMI) to muscle-invasive (MI) disease or disease that require radical cystectomy. This data set contains gene expression data from 200 samples in a longitudinal study of such patients. Overlap with previously GEO-published cohorts from our lab is described in the metadata.
Project description:Cystoscopic bladder biopsies were obtained from 19 patients and 11 controls between 2004 and 2005. Whole transcript based arrays were used to identify differences in expression profile between cancer and normal, muscle-invasive or non-muscle invasive cancer and normal, grade 1 and grade 3 bladder cancer.