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Discovery of microarray-identified genes associated with the progression of cervical intraepithelial neoplasia.


ABSTRACT: OBJECTIVE:To identify genes potentially associated with cervical intraepithelial neoplasia (CIN) progression through bioinformatic approaches and clinicopathological verification. METHODS:mRNA expression microarray data related to CIN progression were screened from the Gene Expression Omnibus (GEO) database and re-analyzed using bioinformatics approaches. Tissue microarray immunohistochemistry was conducted to assess the significant identified genes in CIN, cervical cancer, and normal tissues. RESULTS:Biological annotation and text mining showed that 14 differentially expressed genes were directly or indirectly related to CIN progression. The expression of 5 up-regulated differentially expressed genes, namely, CCND2, TGFBR2, PRKCB, SH3KBP1 and WNT2B, was examined by tissue microarray immunohistochemistry, with the known CIN progression genes P16 and Ki-67 as the internal reference. Expression of TGFBR2, SH3KBP1, and WNT2B were not detected in CIN and cervical carcinoma, whereas no significant difference in the expression rate of PRKCB was detected (P > 0.05). CCND2, P16, and Ki-67 expression showed a gradual increasing trend in normal, CIN, and cervical cancer. CONCLUSIONS:14 differentially expressed genes were associated with CIN progression, as indicated by the microarray data analysis results. CCND2 may be a new marker for the prediction of CIN progression in addition to P16 and Ki-67.

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC6963088 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Discovery of microarray-identified genes associated with the progression of cervical intraepithelial neoplasia.

Jiang Yanming Y   Yin Fuqiang F   Chen Yujie Y   Yue Liang L   Li Li L  

International journal of clinical and experimental pathology 20181201 12


<h4>Objective</h4>To identify genes potentially associated with cervical intraepithelial neoplasia (CIN) progression through bioinformatic approaches and clinicopathological verification.<h4>Methods</h4>mRNA expression microarray data related to CIN progression were screened from the Gene Expression Omnibus (GEO) database and re-analyzed using bioinformatics approaches. Tissue microarray immunohistochemistry was conducted to assess the significant identified genes in CIN, cervical cancer, and no  ...[more]

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