Usage of low-density oligonucleotide microarrays for prognosis
prediction of colorectal cancer patients

D 2006

Usage of low-density oligonucleotide microarrays for prognosis prediction of colorectal cancer patients

SLABÝ, Ondřej, Ingrid GARAJOVÁ, Marek SVOBODA, Pavel FABIAN, Tamara ŠMERDOVÁ et. al.

Basic information

Original name

Usage of low-density oligonucleotide microarrays for prognosis prediction of colorectal cancer patients

Name in Czech

Použití nízkohustotních oligonukleotidových DNA mikročipů k predikci prognózy pacientů s nádorem tlustého střeva a konečníku.

Authors

SLABÝ, Ondřej, Ingrid GARAJOVÁ, Marek SVOBODA, Pavel FABIAN, Tamara ŠMERDOVÁ and Rostislav VYZULA

Edition

2006. vyd. Amsterdam, Netherlands, In Abstract CD of Advances in Microarray Technology, p. 112-112, 2006

Publisher

Select Biosciences

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30200 3.2 Clinical medicine

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

Faculty of Medicine

ISBN

neprideleno

Keywords in English

colorectal cancer; DNA microarray technology; gene expression; pathogenesis; prognosis; prediction

Abstract

ORIG CZ

V originále

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. Twelve patients who had histologically confirmed left-sided colon adenocarcinoma were included. Only stage II-III patients according to IUCC with no prior chemotherapy or radiotherapy were eligible for the study. Six patients were poor prognosis cases width disease free survival (DFS) lower then 36 month and six were good prognosis cases with DFS>36 month. Relative gene expression levels of 128 genes potentially involved in cancer progression and dissemination were obtained by low-density oligonucleotide microarrays (SuperArray Bioscience Corp., Bethesda, MD) from 12 primary colon cancer samples. Gene expression data analysis based on the SAM and t-test methods identified 10 genes with significantly different expression in primary tumors of patients with poor prognosis. Our preliminary data suggest that oligonucleotide microarray technology should contribute to a better understanding of the progression of colorectal cancer, 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.

In Czech

Publikace pouze v jazyce anglickém.

Links

NR9076, research and development project

Name: Genomické profilování v predikci odpovědi na chemoradioterapii u pacientů s lokálně pokročilým karcinomem konečníku

Citovat

SLABÝ, Ondřej, Ingrid GARAJOVÁ, Marek SVOBODA, Pavel FABIAN, Tamara ŠMERDOVÁ and Rostislav VYZULA. Usage of low-density oligonucleotide microarrays for prognosis prediction of colorectal cancer patients. In In Abstract CD of Advances in Microarray Technology. 2006th ed. Amsterdam, Netherlands: Select Biosciences, 2006, p. 112. ISBN neprideleno.

@inproceedings{700052,
   author = {Slabý, Ondřej and Garajová, Ingrid and Svoboda, Marek and Fabian, Pavel and Šmerdová, Tamara and Vyzula, Rostislav},
   address = {Amsterdam, Netherlands},
   booktitle = {In Abstract CD of Advances in Microarray Technology},
   edition = {2006},
   keywords = {colorectal cancer; DNA microarray technology; gene expression; pathogenesis; prognosis; prediction},
   language = {eng},
   location = {Amsterdam, Netherlands},
   isbn = {neprideleno},
   pages = {112-112},
   publisher = {Select Biosciences},
   title = {Usage of low-density oligonucleotide microarrays for prognosis prediction of colorectal cancer patients},
   year = {2006}
}

TY  - JOUR
ID  - 700052
AU  - Slabý, Ondřej - Garajová, Ingrid - Svoboda, Marek - Fabian, Pavel - Šmerdová, Tamara - Vyzula, Rostislav
PY  - 2006
TI  - Usage of low-density oligonucleotide microarrays for prognosis prediction of colorectal cancer patients
PB  - Select Biosciences
CY  - Amsterdam, Netherlands
SN  - neprideleno
KW  - colorectal cancer
KW  - DNA microarray technology
KW  - gene expression
KW  - pathogenesis
KW  - prognosis
KW  - prediction
N2  - 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. Twelve patients who had histologically confirmed left-sided colon adenocarcinoma were included. Only stage II-III patients according to IUCC with no prior chemotherapy or radiotherapy were eligible for the study. Six patients were poor prognosis cases width disease free survival (DFS) lower then 36 month and six were good prognosis cases with DFS>36 month. Relative gene expression levels of 128 genes potentially involved in cancer progression and dissemination were obtained by low-density oligonucleotide microarrays (SuperArray Bioscience Corp., Bethesda, MD) from 12 primary colon cancer samples. Gene expression data analysis based on the SAM and t-test methods identified 10 genes with significantly different expression in primary tumors of patients with poor prognosis. Our preliminary data suggest that oligonucleotide microarray technology should contribute to a better understanding of the progression of colorectal cancer, 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.
ER  -

SLABÝ, Ondřej, Ingrid GARAJOVÁ, Marek SVOBODA, Pavel FABIAN, Tamara ŠMERDOVÁ and Rostislav VYZULA. Usage of low-density oligonucleotide microarrays for prognosis prediction of colorectal cancer patients. In \textit{In Abstract CD of Advances in Microarray Technology}. 2006th ed. Amsterdam, Netherlands: Select Biosciences, 2006, p.~112. ISBN~neprideleno.

Detailed Information on Publication Record