Project description:Expression profiling of a panel of urothelial cancer cells. The goal of the study is to exam the genome wide expression profile in each of the 30 urothelial cancer cells tested in our laboratory Each of the 30 cell lines was DNA fingerprinted to confirm its real identity. Total RNA was obtained from each cell line and subjected to illumina expression profiling microarray

2014-05-01 | E-GEOD-47992 | biostudies-arrayexpress

Tryptic peptide imaging of an urothelial cancer tissue cohort

Project description:Analysis of a clinical urothelial cancer cohort for their spatial tryptic peptide composition in two different tissue types, tumor and stroma, and two tumor subtypes, muscle-infiltrating and non muscle-infiltrating tumors.

2021-06-04 | PXD026459 | Pride

A novel combination of serum microRNAs for the detection of early gastric cancer

Project description:A novel combination of serum microRNAs for the detection of early gastric cancer

| PRJNA689434 | ENA

Gene expression in a Highly Tumorigenic Cells (HTC) purified from Urothelial Cancer

Project description:We used DNA microarrays to compare RNA transcript expression from distinct cell populations sorted by FACS with an antibody against the 67Kd laminin receptor (67LR), and showing distinct tumorigenicity in vivo. Sorted cells were derived by digesting xenografted sw 780 tumors into single cell suspensions. Differential gene expression was assessed by direct comparisons of labeled moieties, using a dye-swap design and biological replication. Hybridizations were performed on Agilent (Santa Clara, CA) Whole Human Genome DNA microarrays (hgug4112a). Three different samples were analyzed: 1) Urothelial cancer cells expressing 67LR (67LR+, BRIGHT); 2) Urothelial cancer cells not expressing 67LR (67LR-, DIM); 3) Control sorted urothelial cancer cells (BULK, containing both BRIGHT and DIM cells). In this series we provide normalized single channel intensities, aligned with the corresponding raw expression data.

2009-05-28 | E-GEOD-16255 | biostudies-arrayexpress

Molecular Biomarker Signature for Bladder Cancer Detection

Project description:In this study we applied differential gene expression analysis to exfoliated human urothelia obtained from patients of known bladder disease status. Selected targets from the microarray data were validated in an independent set of samples using a quantitative PCR approach. Total RNA was extracted from 52 samples of human urothelial cancer cells (C) and from 40 samples of human non-cancer (NC) urothelial cells. Fragmented, biotinylated cRNA was hybridized to Affymetrix Human Genome U133 Plus 2.0 microarrays.

2013-01-08 | E-GEOD-31189 | biostudies-arrayexpress

Five microRNAs in serum are able to differentiate breast cancer patients from healthy individuals

Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.

2020-09-18 | PXD020795 | Pride

Tryptic peptide imaging of an urothelial cancer tissue cohort

Project description:Mass spectrometry imaging analysis of a clinical urothelial cancer cohort for their spatial tryptic peptide composition in two different tissue types, tumor and stroma, and two tumor subtypes, muscle-infiltrating and non muscle-infiltrating tumors.

2022-06-03 | MSV000089594 | MassIVE

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