JANSOVÁ, Eva, Irena KOUTNÁ, Petr KRONTORÁD, Zbyněk SVOBODA, Silvie KŘIVÁNKOVÁ, Jan ŽALOUDÍK, Michal KOZUBEK and Stanislav KOZUBEK. Comparative transcriptome maps: a new approach to the diagnosis of colorectal carcinoma patients using cDNA microarrays. Clinical Genetics. Denmark: Blackwell Munksgaard, 2006, vol. 69, No 3, p. 218-227. ISSN 0009-9163.
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Basic information
Original name Comparative transcriptome maps: a new approach to the diagnosis of colorectal carcinoma patients using cDNA microarrays
Name in Czech Srovnávací transkripční mapy: nový přístup v diagnostice pacientů s kolorektálním karcinomem pomocí cDNA microarrays
Authors JANSOVÁ, Eva (203 Czech Republic, guarantor), Irena KOUTNÁ (203 Czech Republic), Petr KRONTORÁD (203 Czech Republic), Zbyněk SVOBODA (203 Czech Republic), Silvie KŘIVÁNKOVÁ (203 Czech Republic), Jan ŽALOUDÍK (203 Czech Republic), Michal KOZUBEK (203 Czech Republic) and Stanislav KOZUBEK (203 Czech Republic).
Edition Clinical Genetics, Denmark, Blackwell Munksgaard, 2006, 0009-9163.
Other information
Original language English
Type of outcome Article in a journal
Field of Study Genetics and molecular biology
Country of publisher Denmark
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 3.140
RIV identification code RIV/00216224:14330/06:00015299
Organization unit Faculty of Informatics
UT WoS 000235840300006
Keywords in English colorectal carcinoma; cDNA microarrays; transcriptome map; functional clustering; expression profiles
Tags cbia-web, cDNA microarrays, colorectal carcinoma, expression profiles, functional clustering, transcriptome map
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Michal Kozubek, Ph.D., učo 3740. Changed: 7/5/2010 09:05.
Abstract
The progression of colorectal cancer involves accumulation of various genetic and epigenetic events that dramatically change gene expression. The aim of this study was to investigate a possible new approach to the diagnosis of colorectal carcinoma patients, based on their gene expression profiles. Human 19K cDNA microarrays were used to analyze the gene expression profiles of 18 colorectal carcinoma patients. Transcriptome maps (TM) were analyzed to detect chromosomal regions that could serve as potential diagnostic markers for colon cancer. A comparison of TMs showed chromosome regions with conserved changes of gene expression typical of colorectal cancer in general, and also patient-specific variable regions. We identified 195 genes with significantly altered expression in colon cancer. Functional analysis of the regulated genes distinguished three main categories: biological processes, cellular components, and molecular functions. We found that different patients had chromosome regions characterized by very similar changes of gene expression, probably linked to the most fundamental events in carcinogenesis. On the other hand, variable chromosome regions can be patient-specific. The variable regions may provide further information on the individual pathogenesis and prognosis of the patient. Comparison of TMs is proposed as a tool to facilitate diagnosis and treatment planning for individual patients.
Abstract (in Czech)
Tento článek se zabývá využitím srovnávacích transkripčních mapjako nového přístupu v diagnostice pacientů s kolorektálním karcinomem s využitím cDNA microarrays.
Links
GA202/04/0907, research and development projectName: Cytometrie s vysokým rozlišením na živých buňkách
Investor: Czech Science Foundation, High-resolution cytometry of living cells
IAA5004306, research and development projectName: Struktura lidského genomu
Investor: Academy of Sciences of the Czech Republic, Human genome structure
MSM0021622419, plan (intention)Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
1A8241, research and development projectName: Nové možnosti diagnostiky leukémií s využitím technologie DNA-mikročipů
Investor: Ministry of Health of the CR, New possibilities of diagnostics of leukemia using DNA-microarrays
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