Differences in the Drosha and Dicer Cleavage Profiles in Colorectal Cancer and Normal Colon Tissue Samples

2020 ◽  
Vol 493 (1) ◽  
pp. 208-210
Author(s):  
M. Yu. Shkurnikov ◽  
S. A. Nersisyan ◽  
A. Sh. Osepyan ◽  
D. V. Maltseva ◽  
E. N. Knyazev
Keyword(s):  
Colorectal Cancer ◽  
Normal Colon ◽  
Colon Tissue ◽  
Tissue Samples ◽  
Normal Colon Tissue ◽  
Dicer Cleavage

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.

Epidermal growth factor (EGF) A61G polymorphism and EGF gene expression in normal colon tissue from patients with colorectal cancer

2007 ◽  
Vol 46 (8) ◽  
pp. 1113-1117 ◽  
Author(s):  
Karen-Lise G. Spindler ◽  
Jens N. Nielsen ◽  
Dorthe Ornskov ◽  
Ivan Brandslund ◽  
Anders Jakobsen
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Growth Factor ◽  
Epidermal Growth Factor ◽  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue ◽  
Epidermal Growth

Abstract A72: VAP-1 expression is significantly reduced in colorectal cancer compared to normal colon tissue despite elevated sVAP-1 levels.

2013 ◽  
Author(s):  
Stephen T. Ward ◽  
Christopher J. Weston ◽  
Emma L. Shepherd ◽  
Elizabeth A. Hepburn ◽  
Ka-kit Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue

scholarly journals Comparative analysis of the bioenergetics of human adenocarcinoma Caco-2 cell line and postoperative tissue samples from colorectal cancer patients

2018 ◽  
Vol 96 (6) ◽  
pp. 808-817 ◽  
Author(s):  
Lyudmila Ounpuu ◽  
Laura Truu ◽  
Igor Shevchuk ◽  
Vladimir Chekulayev ◽  
Aleksandr Klepinin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cell Line ◽  
Respiratory Chain ◽  
Growth Conditions ◽  
Control Analysis ◽  
Respiratory Chain Complexes ◽  
Colon Tissue ◽  
Tissue Samples

The aim of this work was to explore the key bioenergetic properties for mitochondrial respiration in the widely-used Caco-2 cell line and in human colorectal cancer (HCC) postoperational tissue samples. Oxygraphy and metabolic control analysis (MCA) were applied to estimate the function of oxidative phosphorylation in cultured Caco-2 cells and HCC tissue samples. The mitochondria of Caco-2 cells and HCC tissues displayed larger functional activity of respiratory complex (C)II compared with CI, whereas in normal colon tissue an inverse pattern in the ratio of CI to CII activity was observed. MCA showed that the respiration in Caco-2 and HCC tissue cells is regulated by different parts of electron transport chain. In HCC tissues, this control is performed essentially at the level of respiratory chain complexes I–IV, whereas in Caco-2 cells at the level of CIV (cytochrome c oxidase) and the ATP synthasome. The differences we found in the regulation of respiratory chain activity and glycose index could represent an adaptive response to distinct growth conditions; this highlights the importance of proper validation of results obtained from in-vitro models before their extrapolation to the more complex in-vivo systems.

Cold atmospheric plasma treatment inhibits growth in colorectal cancer cells

2018 ◽  
Vol 400 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Christin Schneider ◽  
Stephanie Arndt ◽  
Julia L. Zimmermann ◽  
Yangfang Li ◽  
Sigrid Karrer ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Plasma Treatment ◽  
Cancer Cells ◽  
Ex Vivo ◽  
Atmospheric Plasma ◽  
Normal Colon ◽  
Colon Tissue ◽  
Cold Atmospheric Plasma ◽  
Colorectal Cancer Cells

AbstractPlasma oncology is a relatively new field of research. Recent developments have indicated that cold atmospheric plasma (CAP) technology is an interesting new therapeutic approach to cancer treatment. In this study, p53 wildtype (LoVo) and human p53 mutated (HT29 and SW480) colorectal cancer cells were treated with the miniFlatPlaSter – a device particularly developed for the treatment of tumor cells – that uses the Surface Micro Discharge (SMD) technology for plasma production in air. The present study analyzed the effects of plasma on colorectal cancer cellsin vitroand on normal colon tissueex vivo. Plasma treatment had strong effects on colon cancer cells, such as inhibition of cell proliferation, induction of cell death and modulation of p21 expression. In contrast, CAP treatment of murine colon tissueex vivofor up to 2 min did not show any toxic effect on normal colon cells compared to H2O2positive control. In summary, these results suggest that the miniFlatPlaSter plasma device is able to kill colorectal cancer cells independent of their p53 mutation status. Thus, this device presents a promising new approach in colon cancer therapy.

scholarly journals MORPHOLOGICAL CHARACTERIZATION OF COLORECTAL PITS USING AUTOFLUORESCENCE MICROSCOPY IMAGES

2019 ◽  
Vol 56 (2) ◽  
pp. 191-196
Author(s):  
Luciana Ariadna ERBES ◽  
Ángel Alberto ZEITOUNE ◽  
Humberto Maximiliano TORRES ◽  
Víctor Hugo CASCO ◽  
Javier ADUR
Keyword(s):  
Colorectal Cancer ◽  
Image Processing ◽  
Morphological Characterization ◽  
Control Group ◽  
Type I ◽  
Two Dimensional ◽  
Colon Tissue ◽  
Tissue Samples ◽  
Microscopy Images

ABSTRACT BACKGROUND: Colorectal cancer is one of the most prevalent pathologies. Its prognosis is linked to the early detection and treatment. Currently diagnosis is performed by histological analysis from polyp biopsies, followed by morphological classification. Kudo’s pit pattern classification is frequently used for the differentiation of neoplastic colorectal lesions using hematoxylin-eosin stained samples. Few articles have reported this classification with image software processing, using exogenous markers over the samples. The processing of autofluorescence images is an alternative that could allow the characterization of the pits from the crypts of Lieberkühn, bypassing staining techniques. OBJECTIVE: Processing and analysis of widefield autofluorescence microscopy images obtained by fresh colon tissue samples from a murine model of colorectal cancer in order to quantify and characterize the pits morphology by measuring morphology parameters and shape descriptors. METHODS: Adult male BALB/cCmedc strain mice (n=27), ranging from 20 to 30 g, were randomly assigned to four and five groups of treated and control animals. Colon samples were collected at day zero and at fourth, eighth, sixteenth and twentieth weeks after treatmentwith azoxymethane. Two-dimensional (2D) segmentation, quantification and morphological characterization of pits by image processing applied using macro programming from FIJI. RESULTS: Type I is the pit morphology prevailing between 53 and 81% in control group weeks. III-L and III-S types were detected in reduced percentages. Between the 33 and 56% of type I was stated as the prevailing morphology for the 4th, 8th and 20th weeks of treated groups, followed by III-L type. For the 16th week, the 39% of the pits was characterized as III-L type, followed by type I. Further, pattern types as IV, III-S and II were also found mainly in that order for almost all of the treated weeks. CONCLUSION: These preliminaries outcomes could be considered an advance in two-dimensional pit characterization as the whole image processing, comparing to the conventional procedure, takes a few seconds to quantify and characterize non-pathological colon pits as well as to estimate early pathological stages of colorectal cancer.

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