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: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: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:Activation of oncogenic ras pathway accounts for up to 90% low-grade superficial urothelial carcinomas of bladder, and p53 deficiency is very common in high-grade muscle invasive carcinomas. These two pathways in bladder urothelial tumorigenesis used to be considered divergent and their potential collaboration has not been illustrated. We did laser capture micro-dissection (LCM) to separate the tumor cells from the whole bladder tissues from H-ras transgenic and p53 knockout mice, as well as normal urothelial cells as control. Microarray was then performed to identify distinct classes of up-regulated genes during tumorigenesis and progression. In order to get the gene expression profiles of carcinoma in situ (CIS), muscle invasive tumors and normal cells, we used LCM to purify the cells from mixture of different types of cells, and then extracted RNA for microarray. There are three groups applied in microarray, which are normal cells as control, CIS (tumor genesis) and invasive tumors (tumor progression).
Project description:Using whole genome mRNA expression profiling of primary human tumors and unsupervised hierarchical cluster analyses, 3 novel molecular subsets (basal, luminal and p53-like subsets) of muscle-invasive bladder cancer (MIBC) were identified. 23 MVAC treated samples were used for the validation of three MIBC subsets