Identification of the differential expressive tumor associated genes in rectal cancers by cDNA microarray.
OBJECTIVE
To identify tumor associated genes of rectal cancer and to probe the application possibility of gene expression profiles for the classification of tumors.


METHODS
Rectal cancer tissues and their paired normal mucosa were obtained from patients undergoing surgical resection of rectal cancer. Total RNA was extracted using Trizol reagents. First strand cDNA synthesis was indirectly labeled with aminoallyl-dUTP and coupled with Cy3 or Cy5 dye NHS mono-functional ester. After normalization to total spots, the genes which background subtracted intensity did not exceed 2 SD above the mean blank were excluded. The data were then sorted to obtain genes differentially expressed by >or= 2 fold up or down in at least 5 of the 21 patients.


RESULTS
In the 21 rectal cancer patients, 23 genes were up-regulated in at least 5 samples and 15 genes were down-regulated in at least 5 patients. Hierachical cluster analysis classified the patients into two groups according to the clinicopathological stage, with one group being all above stage II and one group all below stage II.


CONCLUSIONS
The up-regulated genes and down-regulated genes may be molecular markers of rectal cancer. The expression profiles can be used for classification of rectal cancer.
Gao
Xue-Qin
XQ
Key Laboratory for Biotech-Drug, Ministry of Health, Key Laboratory of Modern Drugs and Technology of Shandong Province, Shandong Medical and Biotechnology Center, Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, China.
Han
Jin-Xiang
JX
Xu
Zhong-Fa
ZF
Zhang
Wei-Dong
WD
Zhang
Hua-Ning
HN
Huang
Hai-Yan
HY
D000230:Adenocarcinoma / Q000235:genetics* / Q000378:metabolism; D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor; D020224:Expressed Sequence Tags; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D012004:Rectal Neoplasms / Q000235:genetics* / Q000378:metabolism
D014408:Biomarkers, Tumor