Archives of gynecology and obstetrics · 2010
Molecular characterization of early adenocarcinoma of the uterine cervix by oligonucleotide microarray.
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Liao Ling-Min, Zheng Min, Huang Long, Ding Hui, He Li, Zhang Ying, Wang Hui-Yun
Аннотация
PURPOSE: In an attempt to understand the molecular characterization for the early adenocarcinoma of the uterine cervix, an analysis of gene expression profiles obtained from early adenocarcinoma of the uterine cervix was performed to find those genes most aberrantly expressed.
METHODS AND MATERIALS: Total RNA was prepared from 32 samples of early adenocarcinoma of the uterine cervix and 32 paired normal cervix tissues, and hybridized to cancer-associated oligonucleotide microarrays with probe sets complementary to about 1,426 transcripts.
RESULTS: Supervised analysis of gene expression data identified 13 genes that exhibited >2-fold upregulation and 27 genes >2-fold downregulation, respectively, in early adenocarcinoma of the uterine cervix compared to normal cervix. Unsupervised hierarchical clustering of the expression data readily distinguished early adenocarcinoma of the uterine cervix from normal cervix. Two genes (karyopherin alpha 2 and proliferating cell nuclear antigen) were selected randomly for real-time reverse transcription polymerase chain reaction analysis. Both genes were expressed significantly higher in early adenocarcinoma of the uterine cervix than in normal cervix, with p = 0.0003 and <0.0001, respectively. These results were compatible with the microarray data.
CONCLUSIONS: This study has revealed several genes that may be highly attractive candidate molecular markers/targets for early adenocarcinoma of the uterine cervix.
METHODS AND MATERIALS: Total RNA was prepared from 32 samples of early adenocarcinoma of the uterine cervix and 32 paired normal cervix tissues, and hybridized to cancer-associated oligonucleotide microarrays with probe sets complementary to about 1,426 transcripts.
RESULTS: Supervised analysis of gene expression data identified 13 genes that exhibited >2-fold upregulation and 27 genes >2-fold downregulation, respectively, in early adenocarcinoma of the uterine cervix compared to normal cervix. Unsupervised hierarchical clustering of the expression data readily distinguished early adenocarcinoma of the uterine cervix from normal cervix. Two genes (karyopherin alpha 2 and proliferating cell nuclear antigen) were selected randomly for real-time reverse transcription polymerase chain reaction analysis. Both genes were expressed significantly higher in early adenocarcinoma of the uterine cervix than in normal cervix, with p = 0.0003 and <0.0001, respectively. These results were compatible with the microarray data.
CONCLUSIONS: This study has revealed several genes that may be highly attractive candidate molecular markers/targets for early adenocarcinoma of the uterine cervix.