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Quantitative analysis of SLC34A2 expression in different types of ovarian tumors.

Authors: Shyian, M.; Gryshkova, V.; Kostianets, O.; Gorshkov, V.; Goloev, Yu.; Goncharuk, I.; Nespryadko, S.; +3 Authors

Quantitative analysis of SLC34A2 expression in different types of ovarian tumors.

Abstract

The main purpose of this study was to estimate the SLC34A2 gene expression in normal ovary and different types of ovarian tumors.We have investigated SLC34A2 gene expression level in papillary serous, endometrioid, unspecified adenocarcinomas, benign tumors, and normal ovarian tissues using real-time PCR analysis. Differences in gene expression were calculated as fold changes in gene expression in ovarian carcinomas and benign tumors compared to normal ovary.We have found that SLC34A2 gene was highly expressed in well-differentiated endometrioid and papillary serous ovarian carcinomas compared to low-differentiated endometrioid carcinomas, benign serous cystoadenomas and normal ovary. Analysis of SLC34A2 gene expression according to tumor differentiation level (poor- and well-differentiated) showed that SLC34A2 is up-regulated in well differentiated tumors.Upregulation of SLC34A2 gene expression in well-differentiated tumors may reflect cell differentiation processes during ovarian cancerogenesis and could serve as potential marker for ovarian cancer diagnosis and prognosis.

Keywords

Adult, Ovarian Neoplasms, Original contributions, Reverse Transcriptase Polymerase Chain Reaction, Cell Differentiation, Middle Aged, Prognosis, Sodium-Phosphate Cotransporter Proteins, Type IIb, Gene Expression Regulation, Neoplastic, Biomarkers, Tumor, Humans, RNA, Female, Aged

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Average
gold
Related to Research communities
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