Five serum microRNAs for detection and predicting of ovarian cancer

Objective: Ovarian cancer (OC) was one of the deadliest gynecological malignancy among women in global. Serum microRNAs (miRNAs) could serve as promising diagnostic biomarkers for patients with OC.

Study design: Using quantitative reverse transcription polymerase chain reaction (qRT-PCR) based Exiqon panel, we identified 27 differentially expressed miRNAs from one normal control (NC) pool and two OC pool samples in the initial screening stage. We further verified the miRNAs in the training (30 OC VS. 36 NCs) and validation stages (80 OC VS. 80 NCs) based on qRT-PCR. Later, the expression levels of the identified miRNAs were also evaluated in exosomes and tissues.

Results: We found a serum microRNA signature including five overexpressed miRNAs (miR-200c-3p, miR-346, miR-127-3p, miR-143-3p and miR-205-5p) in OC in comparison with NCs. The areas under the receiver operating characteristic (ROC) curve (AUC) of the five-miRNA panel were 0.783 for the training stage and 0.745 for the validation stage. The diagnostic sensitivity and specificity of the combined five-miRNA panel was 0.818 and 0.609 when the cut-off value was 0.636. The levels of miR-200c-3p, miR-346 and miR-127-3p in serum were related to tumor grade and distant metastasis of OC. The expression levels of the five miRNAs were also significantly up-regulated in serum exosomes (32 OC VS. 32 NCs). Furthermore, miR-200c-3p was significantly elevated in OC tissues (22 OC VS. 22 NCs). But the levels of the miR-346 and miR-143-3p were significantly lower in OC tissues.

Conclusion: Our findings showed a five-miRNA panel in serum for the detection of OC. Moreover, serum expression levels of miR-200c-3p, miR-346 and miR-127-3p were concerned with tumor grade and distant metastasis of OC.