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Gene expression profile analysis identifies metastasis and chemoresistance-associated genes in epithelial ovarian carcinoma cells.

Zhu L, Hu Z, Liu J, Gao J, Lin B - Med. Oncol. (2014)

Bottom Line: Quantitative real-time PCR and immunohistochemical staining validated the microarray results.Hierarchic cluster analysis of gene expression identified 49 genes that exhibited ≥2.0-fold change and P value ≤0.05.Highly differential expression of GCET2, NLRP4, FOXP1 and SNX29 genes was validated by quantitative PCR in all cell line samples.

View Article: PubMed Central - PubMed

Affiliation: Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning Province, China, zhulccmu@gmail.com.

ABSTRACT
The purpose of this study was to identify genes that associated with higher ability of metastasis and chemotherapic resistance in epithelial ovarian carcinoma (EOC) cells. An oligonucleotide microarray with probe sets complementary to 41,000(+) unique human genes and transcripts was used to determine whether gene expression profile may differentiate three epithelial ovarian cell lines (RMG-I-C, COC1 and HO8910) from their sub-lines (RMG-I-H, COCI/DDP and HO8910/PM) with higher ability of metastasis and chemotherapic resistance. Quantitative real-time PCR and immunohistochemical staining validated the microarray results. Hierarchic cluster analysis of gene expression identified 49 genes that exhibited ≥2.0-fold change and P value ≤0.05. Highly differential expression of GCET2, NLRP4, FOXP1 and SNX29 genes was validated by quantitative PCR in all cell line samples. Finally, FOXP1 was validated at the protein level by immunohistochemistry in paraffin embedded ovarian tissues (i.e., for metastasis, 15 primary EOC and 10 omental metastasis [OM]; for chemoresistance, 13 sensitive and 13 resistant EOC). The identification of higher ability of metastasis and chemotherapic resistance-associated genes may provide a foundation for the development of new type-specific diagnostic strategies and treatment for metastasis and chemotherapic resistance in epithelial ovarian cancer.

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Related in: MedlinePlus

Quantitative real-time PCR validation for 4 selected genes. Quantitative real-time PCR for selected genes (GCET2, NLRP4, FOXP1 and SNX29) found to be differentially expressed in gene microarrays. The relative expression of GCET2 and CFTR was significantly higher in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. The relative expression of FOXP1 and GARS was significantly lower in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. (P < 0.05, one-way ANOVA)
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Fig4: Quantitative real-time PCR validation for 4 selected genes. Quantitative real-time PCR for selected genes (GCET2, NLRP4, FOXP1 and SNX29) found to be differentially expressed in gene microarrays. The relative expression of GCET2 and CFTR was significantly higher in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. The relative expression of FOXP1 and GARS was significantly lower in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. (P < 0.05, one-way ANOVA)

Mentions: Four highly differentially expressed genes (i.e., GCET2, CFTR, FOXP1 and SNX29) were selected for quantitative RT-PCR analysis as shown in Fig. 4. These results were in good agreement with the microarray data, confirming the reliability of the microarray results.Fig. 4


Gene expression profile analysis identifies metastasis and chemoresistance-associated genes in epithelial ovarian carcinoma cells.

Zhu L, Hu Z, Liu J, Gao J, Lin B - Med. Oncol. (2014)

Quantitative real-time PCR validation for 4 selected genes. Quantitative real-time PCR for selected genes (GCET2, NLRP4, FOXP1 and SNX29) found to be differentially expressed in gene microarrays. The relative expression of GCET2 and CFTR was significantly higher in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. The relative expression of FOXP1 and GARS was significantly lower in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. (P < 0.05, one-way ANOVA)
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4262766&req=5

Fig4: Quantitative real-time PCR validation for 4 selected genes. Quantitative real-time PCR for selected genes (GCET2, NLRP4, FOXP1 and SNX29) found to be differentially expressed in gene microarrays. The relative expression of GCET2 and CFTR was significantly higher in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. The relative expression of FOXP1 and GARS was significantly lower in RMG-I-H, COC1/DDP, HO8910/PM than RMG-I-C, COC1, HO8910, respectively. (P < 0.05, one-way ANOVA)
Mentions: Four highly differentially expressed genes (i.e., GCET2, CFTR, FOXP1 and SNX29) were selected for quantitative RT-PCR analysis as shown in Fig. 4. These results were in good agreement with the microarray data, confirming the reliability of the microarray results.Fig. 4

Bottom Line: Quantitative real-time PCR and immunohistochemical staining validated the microarray results.Hierarchic cluster analysis of gene expression identified 49 genes that exhibited ≥2.0-fold change and P value ≤0.05.Highly differential expression of GCET2, NLRP4, FOXP1 and SNX29 genes was validated by quantitative PCR in all cell line samples.

View Article: PubMed Central - PubMed

Affiliation: Department of Obstetrics and Gynecology, Shengjing Hospital Affiliated to China Medical University, Shenyang, 110004, Liaoning Province, China, zhulccmu@gmail.com.

ABSTRACT
The purpose of this study was to identify genes that associated with higher ability of metastasis and chemotherapic resistance in epithelial ovarian carcinoma (EOC) cells. An oligonucleotide microarray with probe sets complementary to 41,000(+) unique human genes and transcripts was used to determine whether gene expression profile may differentiate three epithelial ovarian cell lines (RMG-I-C, COC1 and HO8910) from their sub-lines (RMG-I-H, COCI/DDP and HO8910/PM) with higher ability of metastasis and chemotherapic resistance. Quantitative real-time PCR and immunohistochemical staining validated the microarray results. Hierarchic cluster analysis of gene expression identified 49 genes that exhibited ≥2.0-fold change and P value ≤0.05. Highly differential expression of GCET2, NLRP4, FOXP1 and SNX29 genes was validated by quantitative PCR in all cell line samples. Finally, FOXP1 was validated at the protein level by immunohistochemistry in paraffin embedded ovarian tissues (i.e., for metastasis, 15 primary EOC and 10 omental metastasis [OM]; for chemoresistance, 13 sensitive and 13 resistant EOC). The identification of higher ability of metastasis and chemotherapic resistance-associated genes may provide a foundation for the development of new type-specific diagnostic strategies and treatment for metastasis and chemotherapic resistance in epithelial ovarian cancer.

Show MeSH
Related in: MedlinePlus