Glycolysis gene expression analysis and selective metabolic advantage in the clinical progression of colorectal cancer

2016 ◽  
Vol 17 (3) ◽  
pp. 258-264 ◽  
Author(s):  
F Graziano ◽  
A Ruzzo ◽  
E Giacomini ◽  
T Ricciardi ◽  
G Aprile ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Clinical Progression ◽  
Metabolic Advantage ◽  
Glycolysis Gene

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

scholarly journals Gene Expression Analysis of Peripheral Blood Cells Reveals Toll-Like Receptor Pathway Deregulation in Colorectal Cancer

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e62870 ◽  
Author(s):  
Ye Xu ◽  
Qinghua Xu ◽  
Li Yang ◽  
Fang Liu ◽  
Xun Ye ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Expression Analysis ◽  
Peripheral Blood ◽  
Blood Cells ◽  
Gene Expression Analysis ◽  
Peripheral Blood Cells ◽  
Toll Like Receptor ◽  
Pathway Deregulation

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 Gene-expression analysis of a colorectal cancer-specific discriminatory transcript set on formalin-fixed, paraffin-embedded (FFPE) tissue samples

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexandra Kalmár ◽  
Barnabás Wichmann ◽  
Orsolya Galamb ◽  
Sándor Spisák ◽  
Kinga Tóth ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Ffpe Tissue ◽  
Tissue Samples ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Formalin Fixed

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

scholarly journals Mechanisms Associated With Acquisition Of Resistance To Butyrate-induced Apoptosis In Colorectal Cancer Cells Using Gene Expression Analysis

2014 ◽  
Vol 1 (4) ◽  
pp. 16-30
Author(s):  
Kim YC Fung ◽  
Caroline Kerr ◽  
Steven Henderson ◽  
Ilka Priebe ◽  
Jan Shaw ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Cancer Cells ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Colorectal Cancer Cells ◽  
Induced Apoptosis
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