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대장암 조직에서 cDNA Microarray의 초기경험

Early Experience with a cDNA Microarray in Colorectal Cancer

대한대장항문학회지 2003년 19권 6호 p.341 ~ 348
금충수 ( Keum Chung-Su ) - 원자력의학원 원자력병원 외과

이령아 ( Lee Ryung-Ah ) - 이화여자대학교 의과대학 외과학교실
홍영준 ( Hong Young-Joon ) - 원자력의학원 원자력병원 진단검사의학과
홍석일 ( Hong Seok-Il ) - 원자력의학원 원자력병원 진단검사의학과
황대용 ( Hwang Dae-Yong ) - 한국원자력의학원 원자력병원 외과


Purpose: A cDNA microarray is a systematic method to identify key molecules for prognosis and for treatment response by profiling thousands of genes expressed in a single cancer. The clinical value of cDNA microarray is still being investigated in various fields. This technique could be used in detecting molecules important for cancer to develop, to monitor the effect of new cancer therapeutics, and to give a prognosis for cancer patients. We now report the results of our initial cDNA microarray data to analyze the genome pattern of colorectal cancer tissues and to evaluate the possibility of using cDNA microarrays in a clinical setting for cancer patients.

Methods: We used the general cDNA microarray technique with a 2.4 K cDNA chip provided by Macrogene company. RNA extracted from seven colorectal cancer tissues was amplified by using RT-PCR (reverse transcriptase-polymerase chain reaction), and applied to a cDNA chip to produce an antigen-antibody reaction. The results were analyzed individually and hierarchically.

Results: All seven tested cancer tissues were harvested from operative specimens at the Korea Cancer Center Hospital. The male-to-female ratio was 4 to 3. Five patients were TNM stage II, and two patients were stage III. Eighteen genes were upregulated in stage II patients, and 51 in stage III patients. The number of genes discriminating stage was 69, including 8 control genes, 4 ribosomal genes, 5 EST genes, 10 known non-functional genes, 23 genes of unknown function, and 19 possible cancer-related genes. A hierarchial graph showed similar patterns within a stage, which suggests that genetic patterns might affect clinical characteristics.

Conclusions: Seven colorectal cancer tissues were analyzed with the cDNA microarray technique using 2.4 K cDNA chip. Authors could identify 69 genes that showed the significant change of expression. Although our reports presented the preliminary results, we think that the cDNA microarray will be able to offer an informative results to predict cancer development and progression in colorectal cancer. J Korean Soc Coloproctol 2003;19:341-348


Colorectal neoplasms;cDNA microarray
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