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Gynecol Oncol. 2009 Jan;112(1):55-9. doi: 10.1016/j.ygyno.2008.08.036. Epub 2008 Oct 26.

The detection of differentially expressed microRNAs from the serum of ovarian cancer patients using a novel real-time PCR platform.

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Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, The Ohio State University College of Medicine, Columbus, Ohio 43210, USA.



To determine the utility of serum miRNAs as biomarkers for epithelial ovarian cancer.


Twenty-eight patients with histologically confirmed epithelial ovarian cancer were identified from a tissue and serum bank. Serum was collected prior to definitive therapy. Fifteen unmatched, healthy controls were used for comparison. Serum was obtained from all patients. RNA was extracted using a derivation of the single step Trizol method. The RNA from 9 cancer specimens was compared to 4 normal specimens with real-time PCR using the TaqMan Array Human MicroRNA panel. Twenty-one miRNAs were differentially expressed between normal and patient serum. Real-time PCR for the 21 individual miRNAs was performed on the remaining 19 cancer specimens and 11 normal specimens.


Eight miRNAs of the original twenty-one were identified that were significantly differentially expressed between cancer and normal specimens using the comparative C(t) method. MiRNAs-21, 92, 93, 126 and 29a were significantly over-expressed in the serum from cancer patients compared to controls (p<.01). MiRNAs-155, 127 and 99b were significantly under-expressed (p<.01). Additionally, miRs-21, 92 and 93 were over-expressed in 3 patients with normal pre-operative CA-125.


We demonstrate that the extraction of RNA and subsequent identification of miRNAs from the serum of individuals diagnosed with ovarian cancer is feasible. Real-time PCR-based microarray is a novel and practical means to performing high-throughput investigation of serum RNA samples. miRNAs-21, 92 and 93 are known oncogenes with therapeutic and biomarker potential.

[Indexed for MEDLINE]

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