SLABÝ, Ondřej, Ingrid GARAJOVÁ, Marek SVOBODA, Miroslav SVOBODA and Rostislav VYZULA. Molecular characterization of primary colorectal cancers with progressive metastatic phenotype by oligonucleotide microarrays. In sborník XX. BIOCHEMICKÝ ZJAZD. Piešťany: Slovenská společnost pro biochémiu a molekulárnu biologii, člen IUMBM a FEBS, 2006, p. 213. ISBN 80-969532-6-5.
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Basic information
Original name Molecular characterization of primary colorectal cancers with progressive metastatic phenotype by oligonucleotide microarrays
Name in Czech Molekulární charakterizace progredujícího metastatického kolorektalního karcinomu pomocí oligonukleotidových makročipů
Authors SLABÝ, Ondřej (203 Czech Republic), Ingrid GARAJOVÁ (703 Slovakia), Marek SVOBODA (203 Czech Republic), Miroslav SVOBODA (203 Czech Republic) and Rostislav VYZULA (203 Czech Republic, guarantor).
Edition Piešťany, sborník XX. BIOCHEMICKÝ ZJAZD, p. 213-213, 2006.
Publisher Slovenská společnost pro biochémiu a molekulárnu biologii, člen IUMBM a FEBS
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 30200 3.2 Clinical medicine
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14110/06:00017176
Organization unit Faculty of Medicine
ISBN 80-969532-6-5
Keywords in English colorectal cancer; DNA microarray technology; gene expression; pathogenesis; prognosis; prediction
Tags Colorectal cancer, DNA microarray technology, GENE EXPRESSION, pathogenesis, Prediction, prognosis
Tags International impact, Reviewed
Changed by Changed by: prof. MUDr. Marek Svoboda, Ph.D., učo 19402. Changed: 13/10/2007 23:25.
Abstract
PURPOSE: Colorectal cancer (CRC) is one of the most common malignancies. Unfortunately a significant proportion of surgically cured patiens in the early stage of the disease develop progression and die from the disease. This study aimed to find individual up/down-regulated genes associated with progression and metastatic potential of colorectal cancers using low-density oligonucleotide microarrays. Molecular characterization of patients at high risk of cancer progression may assist to oncologists in treatment decision by selecting those patients who will need adjuvant chemotherapy. PATIENTS AND METHODS: Patients who underwent surgical resection were divided into different prognostic groups by disease-free survival (DFS>36 month – good prognosis; DFS<36 month – bad prognosis). Total RNA was extracted from each frozen tumor specimen and gene expression profiles were obtained using a human oligonucleotide microrray (SuperArray) spotted with 128 genes known to be involved in metastasis. Genes with expression levels showing at least a 2-fold difference were identified as differentially expressed. RESULTS: Characteristic gene expression profiles were obtained from tumor specimens of prognostically different patients with CRC. Expression analysis identified 21 differentially expressed genes (19 up-regulated, 2 down-regulated) in primary tumors of patients who had progressive disease (DFS<36). The functional categories of up-regulated genes belonged to cell cycle (MYC, HRAS, TP53), adhesion molecules (cadherins CDH8, CDH11, CDH19; molecule CD44; catenins CTNNA1, CTNNB1; chemokine CXCR4), matrix metalloproteinases (MMP7, MMP9, MMP10, MMP11, MMP13) and prometastatic factors such as growth factor IGF1, metastasis associated protein MTA1, transcription factor ETV4 (e.g. COX-2 and MMP-7 promoters activation) and scaffolding protein CAV1. The lower expression levels showed genes encoding negative cell proliferation regulator NME1 and plasminogen activator PLAUR. All of these expression differences are consistent with previous reports and molecular and cellular aspects of cancer progression and metastasis. CONCLUSIONS: Our preliminary data suggest that oligonucleotide microarray technology should contribute to a better understanding of the progression of colorectal cancers, and facilitate prediction of their metastatic potential. Analyzing of gene expression data from larger group of CRC patients will enable us to identify distinct prognostic subsets of patients based on molecular characteristics in the near future. This work was supported by IGA MZ ČR NR/9076 - 4
Abstract (in Czech)
Publikace pouze v anglickém jazyce.
Links
NR9076, research and development projectName: Genomické profilování v predikci odpovědi na chemoradioterapii u pacientů s lokálně pokročilým karcinomem konečníku
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