scholarly journals Glucose metabolism enzymes gene expression analysis and selective metabolic advantage in the clinical progression of colorectal cancer (CRC)

2015 ◽  
Vol 26 ◽  
pp. vi52
Author(s):  
E. Ongaro ◽  
A. Ruzzo ◽  
E. Giacomini ◽  
T. Ricciardi ◽  
G. Aprile ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Glucose Metabolism ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Clinical Progression ◽  
Metabolism Enzymes ◽  
Metabolic Advantage

Glucose metabolism enzymes gene expression analysis and selective metabolic advantage in the progression of colorectal cancer (CRC).

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. e14519-e14519
Author(s):  
Francesco Graziano ◽  
Annamaria Ruzzo ◽  
Elisa Giacomini ◽  
Teresa Ricciardi ◽  
Giuseppe Aprile ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Glucose Metabolism ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Metabolism Enzymes ◽  
Metabolic Advantage

Large-scale transcriptional analysis of bovine embryo biopsies in relation to pregnancy success after transfer to recipients

2006 ◽  
Vol 28 (1) ◽  
pp. 84-96 ◽  
Author(s):  
Ashraf El-Sayed ◽  
Michael Hoelker ◽  
Franca Rings ◽  
Dessie Salilew ◽  
Danyel Jennen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Glucose Metabolism ◽  
Expression Analysis ◽  
Large Scale ◽  
Gene Expression Analysis ◽  
Cdna Array ◽  
Microarray Data Analysis ◽  
Transcriptional Analysis ◽  
Bovine Embryo ◽  
Protein Amino Acid

The purpose of this work is to address the relationship between transcriptional profile of embryos and the pregnancy success based on gene expression analysis of blastocyst biopsies taken prior to transfer to recipients. Biopsies (30–40% of the intact embryo) were taken from in vitro-produced day 7 blastocysts ( n = 118), and 60–70% were transferred to recipients after reexpansion. Based on the success of pregnancy, biopsies were pooled in three groups (each 10 biopsies) namely: those resulting in no pregnancy (G1), resorbed embryos (G2), and those resulting in calf delivery (G3). Gene expression analysis of these groups was performed using home-made bovine preimplantation-specific cDNA array (219 clones) and BlueChip (with ∼2,000 clones). Microarray data analysis results revealed a total of 52 and 58 genes were differentially regulated during comparison between G1 vs. G3 and G2 vs. G3. Biopsies resulted in calf delivery were enriched with genes necessary for implantation (COX2 and CDX2), carbohydrate metabolism (ALOX15), growth factor (BMP15), signal transduction (PLAU), and placenta-specific 8 (PLAC8). Biopsies from embryos resulting in resorption are enriched with transcripts involved protein phosphorylation (KRT8), plasma membrane (OCLN), and glucose metabolism (PGK1 and AKR1B1). Biopsies from embryos resulting in no pregnancy are enriched with transcripts involved inflammatory cytokines (TNF), protein amino acid binding (EEF1A1), transcription factors (MSX1, PTTG1), glucose metabolism (PGK1, AKR1B1), and CD9, which is an inhibitor of implantation. In conclusion, we generated direct candidates of blastocyst-specific genes which may play an important role in determining the fate of the embryo after transfer.

scholarly journals ETV4 plays a role on the primary events during the adenoma-adenocarcinoma progression in colorectal cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Aline Simoneti Fonseca ◽  
Anelisa Ramão ◽  
Matheus Carvalho Bürger ◽  
Jorge Estefano Santana de Souza ◽  
Dalila Lucíola Zanette ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Dna Sequencing ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Epithelial Mesenchymal Transition ◽  
Sequencing Analysis ◽  
Microarray Gene Expression ◽  
Mesenchymal Transition ◽  
Paired Samples

Abstract Background Colorectal cancer (CRC) is one of the most common cancers worldwide; it is the fourth leading cause of death in the world and the third in Brazil. Mutations in the APC, DCC, KRAS and TP53 genes have been associated with the progression of sporadic CRC, occurring at defined pathological stages of the tumor progression and consequently modulating several genes in the corresponding signaling pathways. Therefore, the identification of gene signatures that occur at each stage during the CRC progression is critical and can present an impact on the diagnosis and prognosis of the patient. In this study, our main goal was to determine these signatures, by evaluating the gene expression of paired colorectal adenoma and adenocarcinoma samples to identify novel genetic markers in association to the adenoma-adenocarcinoma stage transition. Methods Ten paired adenoma and adenocarcinoma colorectal samples were subjected to microarray gene expression analysis. In addition, mutations in APC, KRAS and TP53 genes were investigated by DNA sequencing in paired samples of adenoma, adenocarcinoma, normal tissue, and peripheral blood from ten patients. Results Gene expression analysis revealed a signature of 689 differentially expressed genes (DEG) (fold-change> 2, p< 0.05), between the adenoma and adenocarcinoma paired samples analyzed. Gene pathway analysis using the 689 DEG identified important cancer pathways such as remodeling of the extracellular matrix and epithelial-mesenchymal transition. Among these DEG, the ETV4 stood out as one of the most expressed in the adenocarcinoma samples, further confirmed in the adenocarcinoma set of samples from the TCGA database. Subsequent in vitro siRNA assays against ETV4 resulted in the decrease of cell proliferation, colony formation and cell migration in the HT29 and SW480 colorectal cell lines. DNA sequencing analysis revealed KRAS and TP53 gene pathogenic mutations, exclusively in the adenocarcinomas samples. Conclusion Our study identified a set of genes with high potential to be used as biomarkers in CRC, with a special emphasis on the ETV4 gene, which demonstrated involvement in proliferation and migration.

Gene expression analysis in colorectal cancer using practical DNA array filter

2001 ◽  
Vol 44 (2) ◽  
pp. 295-299 ◽  
Author(s):  
Kiyotaka Okuno ◽  
Masayuki Yasutomi ◽  
Norihiro Nishimura ◽  
Taku Arakawa ◽  
Mikio Shiomi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Dna Array

scholarly journals Prediction of Metastasis and Recurrence in Colorectal Cancer Based on Gene Expression Analysis: Ready for the Clinic?

Cancers ◽  
2011 ◽  
Vol 3 (3) ◽  
pp. 2858-2869 ◽  
Author(s):  
Masaki Shibayama ◽  
Matthias Maak ◽  
Ulrich Nitsche ◽  
Kengo Gotoh ◽  
Robert Rosenberg ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Prediction Of Metastasis
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