Project description:We have sampled several tumour regions from nine clear cell renal cell carcinoma (ccRCC) patients to investigate intra-tumour heterogeneity.
Project description:We have sampled several tumour regions from nine clear cell renal cell carcinoma (ccRCC) patients to investigate intra-tumour heterogeneity. We selected 56 tumour samples and 6 normal samples from the 9 patients for expression analysis using microarray data. All samples were fresh frozen upon extraction.
Project description:The aim of this study was to compare effect of everolimus on growth of different renal cell carcinoma (RCC) populations and develop design for experiments to measure the early response of everolimus in clear cell RCC (ccRCC) cell lines including renal cancer stem cells. Gene expression profiling using microarray was performed to determine the early response to everolimus after 3 days of treatment with optimizied concentration of drug in two ccRCC cell lines 1) parental clear cell renal cell carcinoma ccRCC-PCSC (HKPCSC -human parental kidney cancer stem cells) and 2) ccRCC-CSC - clear cell renal cell carcinoma -cancer stem cells (HKCSC - human kidney cancer stem cells).
Project description:Despite numerous studies reporting deregulated microRNA (miRNA) and gene expression patterns in clear cell renal cell carcinoma (ccRCC), no direct comparisons have been made to its presumed normal counterpart; the renal proximal epithelial tubular cells (PTEC). The aim of this study was to determine the miRNA expression profiles of ten clear cell renal cell carcinoma-derived cell lines and short-term cultures of PTEC, and to correlate these with their gene expression, and copy-number profiles. Using microarray-based methods, a significantly altered expression level in ccRCC cell lines was observed for 23 miRNAs and 1630 genes. The set of miRNAs with significantly decreased expression levels include all members of the miR-200 family known to be involved in the epithelial to mesenchymal transition (EMT) process. Expression levels of 13 of the 47 validated target genes for the downregulated miRNAs were increased more than two-fold. Our data reinforce the importance of the EMT process in the development of ccRCC. For mRNA expression data of these cell lines see GEO Series accession number GSE20491. MicroRNA profiling was performed on two proximal tubular epithelial cell samples (both cell samples were hybridized twice (biological duplicates)) and ten clear cell renal cell carcinoma- derived cell lines (one of which; RCC-JF in duplicate)
Project description:Background: Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer. Identification of ccRCC likely to progress, despite an apparent low risk at the time of surgery, represents a key clinical issue. Methods: From a cohort of adult ccRCC patients (n=443), we selected low-risk tumors progressing within a 5-years average follow-up (progressors: P, n=8) and non-progressing (NP) tumors (n=16). Transcriptome sequencing, miRNA sequencing and proteomics were performed on tissues obtained at surgery. Our work suggests that LXR, FXR and macrophage activation pathways could be critically involved in the inhibition of the progression of low-risk ccRCC. Furthermore, a 10-component classifier could support an early identification of apparently low-risk ccRCC patients.
Project description:Patients with polycystic kidney disease (PKD) encounter a high risk of clear cell renal cell carcinoma (ccRCC), a malignant tumor with dysregulated lipid metabolism. SET domain–containing 2 (SETD2) has been identified as an important tumor suppressor gene in ccRCC. However, the role of SETD2 in tumorigenesis during the transition from PKD to ccRCC remains largely unexplored. Herein, we performed metabolomics, lipidomics, transcriptomics and proteomics with SETD2 loss induced PKD-ccRCC transition mouse model. To characterize biological responses triggered by SETD2 deletion during PKD-ccRCC transition at the protein level, we conducted global proteomics studies.
Project description:arrayCGH profiling of 10 cell lines derived from clear cell Renal Cell Carcinoma The goal of this study was to make a detailed genomic profile of these cell lines, including aCGH, miRNA expression, and mRNA expression profiles. The miRNA and mRNA expressiion profiles are submitted to GEO separately. One paper is in preparation to link the miRNA expression data with the arayCGH data. For mRNA expression data see GEO Series accession number GSE20491. CGH arrays used to analyse 10 cell lines