scholarly journals Extensive quantitative remodeling of the proteome between normal colon tissue and adenocarcinoma

2012 ◽  
Vol 8 (1) ◽  
pp. 611 ◽  
Author(s):  
Jacek R Wiśniewski ◽  
Paweł Ostasiewicz ◽  
Kamila Duś ◽  
Dorota F Zielińska ◽  
Florian Gnad ◽  
...  
Keyword(s):  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue

scholarly journals Genotype-Based Gene Expression in Colon Tissue—Prediction Accuracy and Relationship with the Prognosis of Colorectal Cancer Patients

2020 ◽  
Vol 21 (21) ◽  
pp. 8150
Author(s):  
Heike Deutelmoser ◽  
Justo Lorenzo Bermejo ◽  
Axel Benner ◽  
Korbinian Weigl ◽  
Hanla A. Park ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Prediction Accuracy ◽  
Inverse Association ◽  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue ◽  
Study Population ◽  
The Uk ◽  
Colorectal Cancer Patients

Colorectal cancer (CRC) survival has environmental and inherited components. The expression of specific genes can be inferred based on individual genotypes—so called expression quantitative trait loci. In this study, we used the PrediXcan method to predict gene expression in normal colon tissue using individual genotype data from 91 CRC patients and examined the correlation ρ between predicted and measured gene expression levels. Out of 5434 predicted genes, 58% showed a negative ρ value and only 16% presented a ρ higher than 0.10. We subsequently investigated the association between genotype-based gene expression in colon tissue for genes with ρ > 0.10 and survival of 4436 CRC patients. We identified an inverse association between the predicted expression of ARID3B and CRC-specific survival for patients with a body mass index greater than or equal to 30 kg/m2 (HR (hazard ratio) = 0.66 for an expression higher vs. lower than the median, p = 0.005). This association was validated using genotype and clinical data from the UK Biobank (HR = 0.74, p = 0.04). In addition to the identification of ARID3B expression in normal colon tissue as a candidate prognostic biomarker for obese CRC patients, our study illustrates the challenges of genotype-based prediction of gene expression, and the advantage of reassessing the prediction accuracy in a subset of the study population using measured gene expression data.

scholarly journals DNA demethylation in normal colon tissue predicts predisposition to multiple cancers

Oncogene ◽  
2012 ◽  
Vol 31 (48) ◽  
pp. 5029-5037 ◽  
Author(s):  
H Kamiyama ◽  
K Suzuki ◽  
T Maeda ◽  
K Koizumi ◽  
Y Miyaki ◽  
...  
Keyword(s):  
Dna Demethylation ◽  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue ◽  
Multiple Cancers

Normal colon tissue and colon carcinoma show no difference in heparanase promoter methylation

2013 ◽  
Vol 94 (2) ◽  
pp. 309-313 ◽  
Author(s):  
Yehudit Peerless ◽  
Einav Simon ◽  
Edmond Sabo ◽  
Ofer Ben-Izhak ◽  
Dov Hershkovitz
Keyword(s):  
Colon Carcinoma ◽  
Promoter Methylation ◽  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue

CEA-like activity in normal colon tissue

1980 ◽  
Vol 16 (1) ◽  
pp. 127-131 ◽  
Author(s):  
G.T. Rogers ◽  
P.A. Keep
Keyword(s):  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue

scholarly journals Identification of histological features to predict MUC2 expression in colon cancer tissues

2019 ◽  
Author(s):  
Preethi Periyakoil ◽  
Michael F. Clarke ◽  
Debashis Sahoo
Keyword(s):  
Cancer Cells ◽  
Cancer Biology ◽  
Expression Patterns ◽  
Goblet Cells ◽  
Muscularis Mucosa ◽  
Normal Colon ◽  
Colon Tissue ◽  
Histological Features ◽  
Normal Colon Tissue ◽  
Muc2 Expression

AbstractColorectal cancer (CRC) is the third-most common form of cancer among Americans. Like normal colon tissue, CRC cells are sustained by a subpopulation of “stem cells” that possess the ability to self-renew and differentiate into more specialized cancer cell types. In normal colon tissue, the enterocytes, goblet cells and other epithelial cells in the mucosa region have distinct morphologies that distinguish them from the other cells in the lamina propria, muscularis mucosa, and submucosa. However, in a tumor, the morphology of the cancer cells varies dramatically. Cancer cells that express genes specific to goblet cells significantly differ in shape and size compared to their normal counterparts. Even though a large number of hematoxylin and eosin (H&E)-stained sections and the corresponding RNA sequencing (RNASeq) data from CRC are available from The Cancer Genome Atlas (TCGA), prediction of gene expression patterns from tissue histological features has not been attempted yet. In this manuscript, we identified histological features that are strongly associated with MUC2 expression patterns in a tumor. Specifically, we show that large nuclear area is associated with MUC2-high tumors (p < 0.001). This discovery provides insight into cancer biology and tumor histology and demonstrates that it may be possible to predict certain gene expressions from histological features.

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