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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human ulcerative colitis samples to develop a molecular marker

ABSTRACT: 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

ORGANISM(S): Homo sapiens

SUBMITTER: Toshiaki Watanabe

PROVIDER: E-GEOD-3629 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene expression signature and the prediction of ulcerative colitis-associated colorectal cancer by DNA microarray.

Watanabe Toshiaki T Kobunai Takashi T Toda Etsuko E Kanazawa Takamitsu T Kazama Yoshihiro Y Tanaka Junichiro J Tanaka Toshiaki T Yamamoto Yoko Y Hata Keisuke K Kojima Tetsu T Yokoyama Tadashi T Konishi Tsuyoshi T Okayama Yoshihiro Y Sugimoto Yoshikazu Y Oka Toshinori T Sasaki Shin S Ajioka Yohichi Y Muto Tetsuichiro T Nagawa Hirokazu H

Clinical cancer research : an official journal of the American Association for Cancer Research 20070101 2 Pt 1

<h4>Purpose</h4>Ulcerative colitis (UC) is associated with a high risk of colorectal cancer. To identify genes that could predict the development of cancer in UC, we conducted a DNA microarray analysis using nonneoplastic rectal mucosa of UC patients.<h4>Experimental design</h4>Gene expression in nonneoplastic mucosa of 53 UC patients were examined. Gene expression profiles were examined using human Genome U133 Plus 2.0 gene chip array (Affymetrix). Among 53 UC patients, 10 had UC-associated can ...[more]

PMID: 17255260

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Molecular Marker for predicting development of cancer in ulcerative colitis

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

2007-02-28 | GSE3629 | GEO

Prediction of sensitivity of rectal cancer cells in response to preoperative chemoradiotherapy by DNA microarray analysis of gene expression profiles.

Project description:Samples were prospectively collected during colonoscopic examination from 46 rectal cancer patients before starting preoperative chemoradiotherapy. 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 prediction of the response to radiotherapy in rectal cancer. Specimens from 46 rectal cancer patients who approved to receive preoperative chemoradiotherapy were studied. We prospectively collected biopsy specimens during colonoscopic examination from rectal cancer before starting preoperative chemoradiotherapy. Specimens from tumors were snap-frozen in liquid nitrogen and stored at -80 C until use. Paralleled tumor specimens were formalin fixed and paraffin embedded for histologic examination and other specimens were used for RNA extraction. RNA was extracted from tumor tissue using frozen samples. The patients provided written, informed consent to the collection of specimens, and the local Ethics Committee approved the study protocol. All patients received a total dose of 50.4 Gy of radiation, UFT(300-500mg/day) and LV (75mg/day) and underwent standardized curative resection, following an interval of 4 weeks after chemoradiotherapy.

2013-01-29 | E-GEOD-35452 | biostudies-arrayexpress

Gene expression signature and the prediction of lymph node metastases

Project description:Samples were taken from colorectal cancers in surgically resected specimens in 89 colorectal cancer patients. 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 lymph node metastases. Keywords: disease state analysis Eighty-nine colorectal cancer patients were studied. Samples from 89 patients were divided into a training set (69 samples) and a testing set (20 samples).

2010-08-31 | E-GEOD-4459 | biostudies-arrayexpress

Gene expression signature and the prediction of liver metastasis in colorectal cancer by DNA microarray

Project description:Samples were taken from colorectal cancers in surgically resected specimens in 189 colorectal cancer patients. 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 liver metastasis. Keywords: repeat One hundred and eighty nine patients who underwent surgical resection of colorectal cancer were included in this study. Patients were evaluated at 3-month intervals for the first postoperative year and at 6-month intervals thereafter. Liver metastases were identified by clinical and laboratory examination, completed by liver ultrasound or CT scan. Patients were divided randomly into a training and a validation set. A training set consisted of 160 patients, while a test set 29 patients.

2011-08-25 | E-GEOD-14095 | biostudies-arrayexpress

Gene expression signature and the prediction of recurrence in stage III colorectal cancer by DNA microarray

Project description:Samples were taken from colorectal cancers in surgically resected specimens in 36 colorectal cancer patients. 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 recurrence. Keywords: repeat Thirty-six colorectal cancer patients who had undergone surgical resection of colorectal cancer were studied. In all patients, curative resection was performed and no patients had any distant metastasis at the time of operation (stage III patients). Among the 36 patients, 23 patients did not develop recurrence. On the other hand, 13 patients developed rucurrence such as liver metastases, lung metastases and distant lymph node metastases. The median follow up period was 4.5 years.

2010-08-31 | E-GEOD-4526 | biostudies-arrayexpress

Digital Spatial Profiling Reveals Functional Shift of Enterochromaffin Cell in Patients with Ulcerative Colitis

Project description:As a major component of the enteroendocrine system, enterochromaffin (EC) cells play a key role in ulcerative colitis (UC). However, the scarcity of EC cells has limited the investigation of their function. In this study, we applied digital spatial profiling to acquire transcriptomic data for EC cells and other epithelial cells from colonoscopic biopsy samples from 8 UC patients and 7 healthy controls. Differential expression analysis, gene set enrichment analysis, and weighted gene co-expression network analysis were performed to identify differentially expressed genes and pathways and co-expression networks. Results were validated using an online dataset obtained by single-cell RNA sequencing, along with immunofluorescence staining and qRT-PCR. In healthy participants, 10 genes were significantly enriched in EC cells, functionally concentrated in protein and bioamine synthesis. A co-expression network containing 17 hub genes, including TPH1, CHGA, and GCLC, was identified in EC cells. In UC patients, EC cells gained increased capacity for protein synthesis, along with novel immunological functions such as antigen processing and presentation, whereas chemical sensation was down-regulated. The specific expression of CHGB and RGS2 in EC cells was confirmed by immunofluorescence staining. Our results illuminate the transcriptional signatures of EC cells in the human colon. EC cells’ newly observed functional shift from sensation to secretion and immunity indicate their pivotal role in UC.

2022-04-01 | GSE183853 | GEO

Metaproteomics of fecal samples supports the diagnosis of Crohn’s Disease and Ulcerative Colitis

Project description:Objective Crohn’s Disease (CD) and Ulcerative Colitis (UC) are chronic inflammatory diseases of the gastrointestinal tract. Reliable diagnosis of these diseases requires a comprehensive examination of the patient, which include invasive endoscopy. This study assesses whether non-invasive LC-MS/MS based analysis of microbial and human proteins from feces may support the diagnosis of the diseases. Design In order to mimic a representative clinical background for this study, we investigated 17 healthy controls, 11 CD patients, 14 UC patients, also 13 Irritable Bowel Disease (IBS) patients, 8 Colon Adenoma (CA) patients, and 8 Gastric Carcinoma (GCA) patients. The proteins were extracted from the fecal samples with liquid phenol in a ball mill. Subsequently, the proteins were digested tryptically to peptides and analyzed by liquid chromatography coupled to an Orbitrap MS/MS. For protein identification and interpretation of taxonomic and functional results, the MetaProteomeAnalyzer software and the UniProtKB/SwissProt database and several metagenomes from human fecal samples were used. Results Cluster analysis and ANOSIM show a separation of healthy controls from patients with CD and UC as well as from patients with GCA. Among others, UC and CD correlated with an increase of neutrophil extracellular traps and immunoglobulins G (IgG) as well as a decrease of IgA. A specific marker metaprotein for CD was an increase of the human enzyme sucrose-isomaltase. IBS and CA patient’s fecal metaproteome showed only minor alterations. Conclusion Metaproteome analysis distinguished between patients with UC, CD and healthy controls and is therefore useful as a non-invasive tool for routine diagnostics in hospitals.

2019-03-11 | PXD010371 | Pride

Ileal pouch transcriptomics reveal shared pathogenesis between pouchitis and ulcerative colitis

Project description:UC pouchitis is a potential model of UC. We prospectively examined the pouch transcriptomes of UC and familial adenomatous polyposis (FAP) IPAA patients to unveil molecular mechanisms of UC pouchitis susceptibility. Methods: Total RNA was isolated using the AllPrep DNA/RNA Mini Kit (QIAGEN, Cat No. 8020). RNA quality was evaluated using Bioanalyzer (Agilent, Santa Clara, CA). All RNA samples displayed RNA Integrity Number (RIN) >7. RNAseq including cDNA library preparation was processed at the Genomics Core Facility of University of Chicago (https://fgf.uchicago.edu/). Total RNA in the amount of 100-500μg per sample was depleted of ribosomal RNA using the Ribo-Zero kit (Epicentre, Madison, WI). The directional (first strand) cDNA libraries were prepared following the guide of TruSeq Stranded Total RNA Sample Preparation kit. Results: Unlike FAP patients, UC subjects exhibited a large set of differentially expressed genes (DEGs) between pouch and pre-pouch mucosa as early as 4 months after pouch functionalization. Functional pathway analysis of DEGs in UC pouch revealed: (1) Gain of colon-associated gene expressions and loss of ileum associated gene expressions, (2) enhanced state of immune/inflammatory response, and (3) suppressed xenobiotic, lipid, and bile acid metabolic pathways. These changes were corroborated upon reanalysis of a published larger cross-sectional study of UC and FAP patients. Moreover, >70% of DEGs mapped to published IBD and normal colonic microarray datasets displayed directional changes consistent with active UC, but not Crohn's disease. Conclusions: UC patients exhibit a unique transcriptomic response to ileal pouch creation that can be observed well before disease. The transcriptome alterations provide insights into pouchitis

2016-05-11 | GSE81266 | GEO

Gene Expression Changes in Non-Dysplastic Mucosa from Patients with Ulcerative Colitis Harboring Remote Neoplastic Lesions

Project description:Background and Aims: Individuals with ulcerative colitis (UC) are at increased risk for colorectal cancer, although underlying mechanisms are incompletely understood. We sought to identify a potential gene expression signature in non-dysplastic distal mucosa that as a “genetic field effect” could be a marker for remote neoplastic lesions. Results: 468 genes were significantly up-regulated and 541 genes were significantly down-regulated >2-fold in UC patients with neoplasia compared to UC patients without neoplasia. Nine genes (ACSL1, BIRC3, CLC, CREM, ELTD1, FGG, S100A9, THBD, and TPD52L1) were progressively and significantly up-regulated from controls to quiescent non-dysplastic UC to UC with neoplasia. Immunostaining of proteins revealed increases in tissue expression of S100A9 and REG1 in UC-associated cancer and in non-dysplastic tissue from UC patients harboring remote neoplasia, compared to UC patients without dysplasia and normal controls. Conclusions: Gene expression changes occur as a field effect in UC patients without active inflammation who harbor a remote dysplastic lesion. Further characterization of these genes and proteins might elucidate pathways of carcinogenesis in IBD and lead to the development of more accurate, less invasive markers of dysplasia in those at increased risk. Microarray assay were conducted on 20 RNA samples isolated from colon mucosa of 20 patients. Of these patients, 5 were normal controls, 4 had quiescent UC, and 11 had UC with neoplasia. Patients were included if they had a previous clinical diagnosis of UC confirmed by an expert GI pathologist, a disease duration > 7 years, and an extent of disease >20 cm proximal to the anal verge.

2012-04-19 | E-GEOD-37283 | biostudies-arrayexpress

Prediction of sensitivity of rectal cancer cells in response to preoperative chemoradiotherapy by DNA microarray analysis of gene expression profiles.

2013-01-29 | GSE35452 | GEO

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