Project description:Samples were taken from either surgically resected specimens or during surveillance colonoscopic examination. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting development of cancer and/or dysplasia in ulcerative colitis, and to characterize potential diagnostic markers in UC-associated neoplasm. Experiment Overall Design: 43 UC-NonCa, 10 UC-Ca, 60 sporadic-Ca and 6 UC-associated Ca were analyzed
Project description:Samples were taken from either surgically resected specimens or during surveillance colonoscopic examination. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting development of cancer and/or dysplasia in ulcerative colitis, and to characterize potential diagnostic markers in UC-associated neoplasm. Keywords: repeat
Project description:Ulcerative Colitis is an autoimmune inflammatory bowel disease that causes chronic inflammation in the colon and the rectum. Althoung extensively researched, the underlying molecular mechanisms of Ulcerative Colitis remain elusive. Especially, there is a lack of understanding about regulatory non-coding miRNA expression during Ulcerative Colitis. Therefore, we performed high-throughput miRNA profiling of colon tissue biopsies from XX patients with active Ulcerative Colitis, XX patients with quiescent Ulcerative Colitis and XX Symptomatic Control individuals.
Project description:Ulcerative Colitis is an autoimmune inflammatory bowel disease that causes chronic inflammation in the colon and the rectum. Althoung extensively researched, the underlying molecular mechanisms of Ulcerative Colitis remain elusive. Especially, there is a lack of understanding about regulatory non-coding miRNA expression during Ulcerative Colitis in a cell type-specific context. Therefore, we performed high-throughput miRNA profiling of Fluorescence Activated Cell Sorting (FACS)-enriched CD66a+ and CD44+ colonic epithelial cell populations from colon tissue biopsies of 16 patients with active Ulcerative Colitis, 15 patients with quiescent Ulcerative Colitis and 17 Symptomatic Control individuals.
Project description:Patients with ulcerative colitis (UC) are at increased risk of colorectal cancer (CRC). Colitis-associated dysplasia (flat or polypoid) continues to be a reliable marker for CRC in these patients. However, flat lesions are often missed during endoscopy and can rapidly progress to high-grade dysplasia or cancer. microRNAs (miRs), small non-coding RNAs, have emerged as a valuable diagnostic biomarker of human cancer due to their ease of detection and stability. The goal of this study was to identify a miR signature that can serve as a reliable biomarker for the early detection of colitis-associated dysplasia in patients with long-standing colitis.
Project description:Dextran sodium sulfate (DSS) causes inflammation in the gut similar to ulcerative colitis in humans. Patients with ulcerative colitis have increased risk of developing colon cancer. We sought to determine whether genes altered in the normal colonic epithelium or tumor differed between sporadic and inflammation-associated tumor development.
Project description:Gene set analysis as it is typically applied to genome-wide methylation assays is severely biased as a result of differences in the numbers and sizes of CpG islands associated with different classes of genes. We demonstrate this bias using published data from a study of differential methylation in lung cancer and a data set we generated to study methylation changes in patients with long-standing ulcerative colitis and show that several of the gene sets that appear enriched would also be identified with randomized data. We also report a method to correct the bias. Application of the corrected method to the lung cancer and ulcerative colitis data sets provides novel and potentially interesting biological insights into the role of methylation in cancer development and chronic inflammation. We used Agilent Human CpG Island microarrays to compare methylation patterns in sigmoid colon tissue between five individuals suffering from ulcerative colitis and five healthy age-matched controls.
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.